{"id":236613,"date":"2024-04-02T05:30:00","date_gmt":"2024-04-02T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=236613"},"modified":"2024-04-05T06:36:42","modified_gmt":"2024-04-05T06:36:42","slug":"taipy-vs-streamlit","status":"publish","type":"post","link":"https:\/\/datascientest.com\/taipy-vs-streamlit","title":{"rendered":"Taipy vs Streamlit : Lequel choisir pour vos projets d&rsquo;interface utilisateur ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"236613\" class=\"elementor elementor-236613\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5789b60 e-flex e-con-boxed e-con\" data-id=\"5789b60\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-15b0b04 elementor-widget elementor-widget-heading\" data-id=\"15b0b04\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Dans le domaine du d\u00e9veloppement d'applications Python, l\u2019outil open source le plus connu et utilis\u00e9 depuis 5 derni\u00e8res ann\u00e9es est Streamlit. Mais ces derniers temps, un autre acteur convoite cette place : le logiciel fran\u00e7ais Taipy.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-152bd34 elementor-widget elementor-widget-text-editor\" data-id=\"152bd34\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Ces deux plateformes sont des outils con\u00e7us pour <strong>simplifier le processus de d\u00e9veloppement d&rsquo;applications web en <\/strong><a href=\"https:\/\/datascientest.com\/python-tout-savoir\">Python<\/a>. Ils permettent aux d\u00e9veloppeurs de cr\u00e9er rapidement des interfaces utilisateur interactives \u00e0 partir de leur code Python, sans n\u00e9cessiter une expertise approfondie en d\u00e9veloppement web. Comment choisir entre les deux ? C&rsquo;est ce que nous allons d\u00e9couvrir dans l\u2019article comparatif ci-dessous.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c0909cb e-flex e-con-boxed e-con\" data-id=\"c0909cb\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6258344 elementor-widget elementor-widget-heading\" data-id=\"6258344\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Histoire<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d5d598 elementor-widget elementor-widget-text-editor\" data-id=\"6d5d598\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/datascientest.com\/streamlit-ou-loutil-pour-presenter-votre-travail-de-machine-learning\">Streamlit<\/a>, cr\u00e9\u00e9 en 2019 par Streamlit Technologies sp\u00e9cifiquement pour des <a href=\"https:\/\/datascientest.com\/data-science-et-metaverse\">data scientists<\/a>, \u00e9tait une solution incontournable pour les cr\u00e9ateurs d&rsquo;applications interactives avec Python.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\"><strong>Taipy<\/strong> est un outil beaucoup plus r\u00e9cent &#8211; lanc\u00e9 en 2020 par les cr\u00e9ateurs de <a href=\"https:\/\/datascientest.com\/hugging-face-tout-savoir\">Hugging Face<\/a> (une biblioth\u00e8que <a href=\"https:\/\/datascientest.com\/formation-nlp\">NLP<\/a> populaire) avec un accent sur la scalabilit\u00e9 et les performances.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-90ac7df elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"90ac7df\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir nos formations<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-45c1230 e-flex e-con-boxed e-con\" data-id=\"45c1230\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3a5ded3 elementor-widget elementor-widget-heading\" data-id=\"3a5ded3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Installation<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65cd070 elementor-widget elementor-widget-text-editor\" data-id=\"65cd070\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">L&rsquo;installation de Streamlit suit une proc\u00e9dure standard via pip :<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6244a3a elementor-widget elementor-widget-text-editor\" data-id=\"6244a3a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<pre style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">pip install streamlit<\/span><\/pre>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8aa88bd elementor-widget elementor-widget-text-editor\" data-id=\"8aa88bd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Cependant, certains utilisateurs peuvent trouver le processus l\u00e9g\u00e8rement complexe en raison de la n\u00e9cessit\u00e9 de <strong>configurer l&rsquo;environnement de d\u00e9veloppement ad\u00e9quat<\/strong>.<\/span><\/p><p><span style=\"font-weight: 400;\">Il est plus facile d\u2019utiliser des <a href=\"https:\/\/datascientest.com\/ide\">IDEs<\/a> (comme <a href=\"https:\/\/datascientest.com\/visual-studio-code-tout-savoir\">VSCode<\/a> ou <a href=\"https:\/\/datascientest.com\/spyder-tout-savoir\">Spyder<\/a>) pour cr\u00e9er des <strong>applications Streamlit<\/strong>. La possibilit\u00e9 d\u2019int\u00e9gration dans le <a href=\"https:\/\/datascientest.com\/jupyter-notebook-tout-savoir\">Jupyter<\/a> n\u2019est pas d\u00e9velopp\u00e9e pour l\u2019instant.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51190c9 elementor-widget elementor-widget-image\" data-id=\"51190c9\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"875\" height=\"500\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/streamlitVStaipy1.jpg\" class=\"attachment-full size-full wp-image-236663\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/streamlitVStaipy1.jpg 875w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/streamlitVStaipy1-300x171.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/streamlitVStaipy1-768x439.jpg 768w\" sizes=\"(max-width: 875px) 100vw, 875px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-13ea778 elementor-widget elementor-widget-text-editor\" data-id=\"13ea778\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Contrairement \u00e0 Streamlit, l&rsquo;<strong>installation de Taipy<\/strong> est relativement simple et peut \u00eatre r\u00e9alis\u00e9e \u00e9galement via le gestionnaire de paquets pip :<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0d3c14b elementor-widget elementor-widget-text-editor\" data-id=\"0d3c14b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<pre style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">pip<\/span> <span style=\"font-weight: 400;\">install<\/span> <span style=\"font-weight: 400;\">taipy<\/span><\/pre>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a9d0774 elementor-widget elementor-widget-text-editor\" data-id=\"a9d0774\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Taipy propose une extension de VSCode, mais peut \u00eatre utilis\u00e9 \u00e9galement dans les notebooks Jupyter.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Une fois install\u00e9, les utilisateurs peuvent d\u00e9marrer rapidement leur d\u00e9veloppement sans rencontrer de probl\u00e8mes majeurs.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8a4b03e e-flex e-con-boxed e-con\" data-id=\"8a4b03e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ff7fee7 elementor-widget elementor-widget-heading\" data-id=\"ff7fee7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Utilisation<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-832ec73 elementor-widget elementor-widget-text-editor\" data-id=\"832ec73\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Streamlit peut impliquer une courbe d&rsquo;apprentissage l\u00e9g\u00e8rement plus abrupte, car il offre une <strong>vari\u00e9t\u00e9 de fonctionnalit\u00e9s avanc\u00e9es et de composants pr\u00eats \u00e0 l&#8217;emploi<\/strong>.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">L\u2019outil se base principalement sur un cadre <a href=\"https:\/\/datascientest.com\/outils-et-competences-front-end\">front-end<\/a> simple pour <strong>contr\u00f4ler et concevoir les applications<\/strong>. Chaque modification oblige \u00e0 r\u00e9-ex\u00e9cuter le code, ce qui complique le processus pour les projets en cours de production.<\/span><\/p><p><span style=\"font-weight: 400;\">Taipy se distingue par sa simplicit\u00e9 d&rsquo;utilisation et sa syntaxe intuitive, la compr\u00e9hension basique des <strong>commandes Python<\/strong> suffit pour le d\u00e9veloppement. Taipy ne fait fonctionner que ce qui doit \u00eatre ex\u00e9cut\u00e9 en utilisant des rappels, r\u00e9duisant le volume et le temps de traitement.<\/span><\/p><p><span style=\"font-weight: 400;\">Ce logiciel donne la possibilit\u00e9 de d\u00e9veloppement front-end, mais offre \u00e9galement un soutien sp\u00e9cialis\u00e9 pour \u00e9laborer l&rsquo;infrastructure <a href=\"https:\/\/datascientest.com\/back-end-quest-ce-que-cest-et-quelle-importance-en-data-science\">back-end<\/a>, utile pour <strong>la cr\u00e9ation et la<\/strong> <strong>gestion des pipelines<\/strong>. Le front-end est s\u00e9par\u00e9 du back-end, l\u2019application peut alors s\u2019ex\u00e9cuter sans soucis techniques, ce qui n\u2019est pas le cas pour Streamlit.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e33529 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"4e33529\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">En savoir plus sur la formation<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-eb12675 e-flex e-con-boxed e-con\" data-id=\"eb12675\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6c1947f elementor-widget elementor-widget-heading\" data-id=\"6c1947f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Gestion de donn\u00e9es<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b220d2b elementor-widget elementor-widget-text-editor\" data-id=\"b220d2b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Streamlit manque de support\/optimisation int\u00e9gr\u00e9 pour la <strong>manipulation de grandes quantit\u00e9s de donn\u00e9es<\/strong>. Les applications sont construites de la m\u00eame mani\u00e8re sans r\u00e9f\u00e9rence \u00e0 la taille des donn\u00e9es.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Taipy est un bon choix dans des cas de gestion du <a href=\"https:\/\/datascientest.com\/formation-big-data\">Big Data<\/a> &#8211; il permet de traiter les donn\u00e9es volumineuses n\u00e9cessitant un traitement intensif gr\u00e2ce aux fonctionnalit\u00e9s comme l&rsquo;ex\u00e9cution asynchrone, le d\u00e9cimateur pour les graphiques ou la pagination pour les tables.<\/span><\/p><p><span style=\"font-weight: 400;\">Comparons les avantages et les inconv\u00e9nients de deux solutions cote \u00e0 cote :<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10d5f8b elementor-widget elementor-widget-html\" data-id=\"10d5f8b\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-c2uo{background-color:#343434;border-color:inherit;color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;\r\n  font-size:28px;text-align:center;vertical-align:middle}\r\n.tg .tg-p170{background-color:#efefef;border-color:inherit;text-align:left;vertical-align:middle}\r\n.tg .tg-fsme{background-color:#efefef;border-color:inherit;text-align:center;vertical-align:middle}\r\n.tg .tg-t76v{background-color:#efefef;border-color:inherit;font-family:Tahoma, Geneva, sans-serif !important;font-size:15px;\r\n  text-align:left;vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 800px\">\r\n<colgroup>\r\n<col style=\"width: 400px\">\r\n<col style=\"width: 400px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-fsme\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/653245fb255a64979ba7cc5a_Inline-Color.png\" alt=\"Image\" width=\"380\" height=\"100\"><\/th>\r\n    <th class=\"tg-p170\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/Streamlit-logo-primary-colormark-darktext.png\" alt=\"Image\" width=\"341\" height=\"200\"><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-c2uo\" colspan=\"2\">Avantages<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-t76v\"><ul><li>Convient aux d\u00e9butants et aux projets n\u00e9cessitant une solution rapide<\/li><li>Permet de construire des applications rapides pour les donn\u00e9es \u00e9volutives<\/li><li>Param\u00e9trable facilement, tr\u00e8s flexible gr\u00e2ce aux propri\u00e9t\u00e9s d'affichage. Ne n\u00e9cessite pas une expertise pr\u00e9alable en CSS<\/li><li>Les \u00e9l\u00e9ments visuels de base de Taipy am\u00e9liorent la liaison entre le frontend et le backend<\/li><li>Permet de g\u00e9rer le Big Data, les pageset les users  multiples efficacement au sein des applications volumineuses<\/li><\/ul><\/td>\r\n    <td class=\"tg-t76v\"><ul><li>Large communaut\u00e9 avec beaucoup de ressources et tutoriels suppl\u00e9mentaires<\/li><li>Plateformes de d\u00e9ploiement multiples: Streamlit Cloud, AWS, Snowflake par exemple<\/li><li>Large gamme de fonctionnalit\u00e9s avanc\u00e9es pour les projets complexes du point de vue du design et style<\/li><li>Capacit\u00e9 de personnalisation \u00e9tendue pour r\u00e9pondre \u00e0 des besoins sp\u00e9cifiques<\/li><li>Possibilit\u00e9 de d\u00e9ploiement facile via Streamlit Sharing<\/li><\/ul><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-c2uo\" colspan=\"2\">Inconv\u00e9nients<\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-t76v\"><ul><li>Une communaut\u00e9 beaucoup plus petite, l\u2019entraide se fait principalement via GitHub des utilisateurs<\/li><li>Options de d\u00e9ploiement limit\u00e9es, principalement en local<\/li><li>Moins de fonctionnalit\u00e9s avanc\u00e9es par rapport \u00e0 Streamlit<\/li><li>Limit\u00e9 en termes de personnalisation pour les projets complexes<\/li><\/ul><\/td>\r\n    <td class=\"tg-t76v\"><ul><li>Installation l\u00e9g\u00e8rement plus complexe pour les novices<\/li><li>Courbe d'apprentissage plus prononc\u00e9e pour tirer pleinement parti de ses fonctionnalit\u00e9s avanc\u00e9es<\/li><li>Utilise un template standard ne donnant pas la possibilit\u00e9 de modifier la mise en page de l'application sans l\u2019utilisation de CSS et HTML<\/li><li>Perd la performance avec les donn\u00e9es volumineuse, surtout sur les t\u00e2ches complexes de machine learning<\/li><\/ul><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-21bfdd8 e-flex e-con-boxed e-con\" data-id=\"21bfdd8\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d717f61 elementor-widget elementor-widget-heading\" data-id=\"d717f61\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1784d7a elementor-widget elementor-widget-text-editor\" data-id=\"1784d7a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">La s\u00e9lection entre Taipy et Streamlit d\u00e9pendra largement des <strong>besoins sp\u00e9cifiques du projet, du niveau d&rsquo;expertise et des comp\u00e9tences du d\u00e9veloppeur<\/strong>, ainsi que des exigences du projet. Streamlit\u00a0 offre une gamme plus large de fonctionnalit\u00e9s avanc\u00e9es pour les projets complexes et est souvent privil\u00e9gi\u00e9 pour le prototypage en raison de sa popularit\u00e9 \u00e9tablie, r\u00e9sultant \u00e9galement dans la documentation \u00e9tendue et un grand support de la communaut\u00e9 des utilisateurs. Taipy, quant \u00e0 lui, se distingue en tant qu&rsquo;<strong>outil plus r\u00e9cent et facile d\u2019utilisation<\/strong>, sp\u00e9cifiquement ax\u00e9 sur la pr\u00e9paration \u00e0 la production et la gestion efficace des donn\u00e9es de grand volume.<\/span><\/p><p><span style=\"font-weight: 400;\">Les deux outils poss\u00e8dent des avantages int\u00e9ressants, ainsi que les inconv\u00e9nients qui peuvent complexifier les t\u00e2ches en fonction de leur nature et buts finaux. Le choix reste \u00e0 vous, il est m\u00eame <strong>possible de les combiner<\/strong> en profitant des meilleures fonctionnalit\u00e9s des deux mondes !<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fad24e elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"6fad24e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Se former avec DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d36cc0 elementor-widget elementor-widget-html\" data-id=\"1d36cc0\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Taipy vs Streamlit\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Ces deux plateformes sont des outils con\u00e7us pour simplifier le processus de d\u00e9veloppement d'applications web en Python. Ils permettent aux d\u00e9veloppeurs de cr\u00e9er rapidement des interfaces utilisateur interactives \u00e0 partir de leur code Python, sans n\u00e9cessiter une expertise approfondie en d\u00e9veloppement web.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu'est-ce que Streamlit ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Streamlit, cr\u00e9\u00e9 en 2019 par Streamlit Technologies sp\u00e9cifiquement pour des data scientists, \u00e9tait une solution incontournable pour les cr\u00e9ateurs d'applications interactives avec Python.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu'est-ce que Taipy ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Taipy est un outil beaucoup plus r\u00e9cent - lanc\u00e9 en 2020 par les cr\u00e9ateurs de Hugging Face (une biblioth\u00e8que NLP populaire) avec un accent sur la scalabilit\u00e9 et les performances.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Dans le domaine du d\u00e9veloppement d&rsquo;applications Python, l\u2019outil open source le plus connu et utilis\u00e9 depuis 5 derni\u00e8res ann\u00e9es est Streamlit. Mais ces derniers temps, un autre acteur convoite cette place : le logiciel fran\u00e7ais Taipy. Ces deux plateformes sont des outils con\u00e7us pour simplifier le processus de d\u00e9veloppement d&rsquo;applications web en Python. Ils permettent [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":236615,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2494],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Taipy vs Streamlit : Lequel choisir pour vos projets d&#039;interface utilisateur ?<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/taipy-vs-streamlit\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Taipy vs Streamlit : Lequel choisir pour vos projets d&#039;interface utilisateur ?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/taipy-vs-streamlit\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-02T05:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-05T06:36:42+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/BLOG__streamlitVStaipy.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"562\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Margalith Mamou\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Margalith Mamou\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/taipy-vs-streamlit\",\"url\":\"https:\/\/datascientest.com\/taipy-vs-streamlit\",\"name\":\"Taipy vs Streamlit : Lequel choisir pour vos projets d'interface utilisateur ?\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2024-04-02T05:30:00+00:00\",\"dateModified\":\"2024-04-05T06:36:42+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/1c2cce73f7edd34162d45b93c92adb00\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/taipy-vs-streamlit\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/#website\",\"url\":\"https:\/\/datascientest.com\/\",\"name\":\"Formation Data Science | DataScientest.com\",\"description\":\"Leader de la formation en Data Science\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/1c2cce73f7edd34162d45b93c92adb00\",\"name\":\"Margalith Mamou\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/Margalith.jpg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/Margalith.jpg\",\"caption\":\"Margalith Mamou\"},\"description\":\"Margalith Mamou est Product Manager chez DataScientest, apr\u00e8s avoir occup\u00e9 le poste de Chef de projet Web pendant plus d'un an au sein de la m\u00eame entreprise. 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