--- description: Dash : qu'en pensent les utilisateurs ? Lisez les avis sur Dash, consultez ses différents prix, tarifs et abonnements ainsi que ses fonctionnalités. image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png title: Dash - Prix, tarif, abonnement et avis | GetApp France 2026 --- Breadcrumb: [Accueil](/) > [Outils de data visualisation](/directory/740/data-visualization/software) > [Dash](/software/2050350/dash-2) # Dash Canonical: https://www.getapp.fr/software/2050350/dash-2 Page : 1/2\ Suivant: [Page suivante](https://www.getapp.fr/software/2050350/dash-2?page=2) > Dash by Plotly est un logiciel de visualisation de données conçu pour aider les entreprises de toutes tailles à créer, déployer et gérer des applications web interactives. La plateforme permet aux organisations de déployer des applications optimisées par l'IA (intelligence artificielle) et la science des données pour collaborer avec les membres d'équipes, fournir des autorisations d'accès et générer des rapports. > > Conclusion : 11 utilisateurs lui ont donné la note de **4.6/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.6/5** | 11 Avis | | Simplicité d’utilisation | 4.5/5 | D'après l'ensemble des avis | | Support client | 4.2/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.8/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.4/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: Plotly ## Contexte commercial - **Type de licence**: (Version gratuite disponible) (pendant l'essai gratuit) - **Public cible**: 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Déploiement et plateformes**: Cloud, SaaS, web - **Langues**: anglais - **Pays disponibles**: États-Unis ## Fonctionnalités - API - Analyse visuelle - Collaboration entre plusieurs utilisateurs - Développement d'applications - Gestion des ressources humaines - Importation et exportation de données - Modèles personnalisables - Outils de collaboration - Prévision - Rapports et analyses - Rapports interactifs - Tableau de bord - Tableau de bord personnalisable - Visualisation de données ## Ressources d'aide - Chat ## Category - [Outils de data visualisation](https://www.getapp.fr/directory/740/data-visualization/software) ## Catégories connexes - [Outils de data visualisation](https://www.getapp.fr/directory/740/data-visualization/software) - [Outils de reporting](https://www.getapp.fr/directory/931/analytics-reporting/software) - [Outils de BI](https://www.getapp.fr/directory/318/business-intelligence/software) - [Logiciels d'Embedded Analytics](https://www.getapp.fr/directory/1771/embedded-analytics/software) - [Logiciels de machine learning](https://www.getapp.fr/directory/1399/machine-learning/software) ## Logiciels similaires 1. [Microsoft Power BI](https://www.getapp.fr/software/102847/power-bi) — 4.6/5 (1871 reviews) 2. [Tableau](https://www.getapp.fr/software/90797/tableau-software) — 4.6/5 (2348 reviews) 3. [Google Analytics 360](https://www.getapp.fr/software/90997/google-analytics) — 4.7/5 (8089 reviews) 4. [Canva](https://www.getapp.fr/software/107441/canva) — 4.7/5 (13247 reviews) 5. [Google Data Studio](https://www.getapp.fr/software/113697/google-data-studio) — 4.5/5 (335 reviews) ## Avis ### "Excellent framework to create interactive visualisations" — 5.0/5 > **Debarpan** | *18 avril 2022* | Marketing et publicité | Taux de recommandation : 10.0/10 > > **Avantages**: Excellent interface and user-friendly UI Open-source and free Good community support Connects to multiple data sources like flat files, multiple databases Visualisations update when data is updated Multiple developers can access a visualisation simultaneously - Good team collaboration Real-time analytics Minimal time required to set up and get started > > **Inconvénients**: Customer support could be improved Optimal memory allocation for larger datasets > > We used Dash to generate visualisations. We had huge volumes of data from an enterprise system. We switched to Dash since it looked promising with a wide range of visualisation options and was free. With Dash, we were able to create excellent visualisations, perform analytics to uncover insights, and share the reports with stakeholders. Dash can connect with multiple applications hence we can leverage the capabilities of other advanced analytics applications. Next, all visualisations are stored in a repository and cen be referenced later. ----- ### "Review of Dash" — 4.0/5 > **Christhian** | *21 octobre 2024* | Services financiers | Taux de recommandation : 8.0/10 > > **Avantages**: Dash is a great python famework that helps you to get handson creating a Dashboard or webapp from A-to-Z > > **Inconvénients**: Dash is developped on top of Flask and when it comes to advanced configuration, you'll need to know some more about Flask ----- ### "Suitable for quick, simple MVP dashboards" — 4.0/5 > **Eric** | *20 mars 2025* | Gestion de l'enseignement | Taux de recommandation : 6.0/10 > > **Avantages**: As claimed, it was fast to create a prototype/MVP. Could achieve a reactive frontend with little/no knowledge of React - Dash handled the communication with the backend well. > > **Inconvénients**: Even with our simple MVP we hit into customisation limits for the front end display, and needed to start hacking the HTML/CSS by hand. Perhaps this is unfair criticism given what Dash is trying to achieve\! > > Overall it is positive. Fast and works as advertised for an MVP/Dashboard. ----- ### "web dev tool for data scientist" — 5.0/5 > **Mohannad** | *19 décembre 2023* | Services et technologies de l'information | Taux de recommandation : 10.0/10 > > **Avantages**: Dash by Plotly stands out as an indispensable tool in Python. I believe it is a must-have for data scientists and machine learning engineers, providing not only excellent capabilities for data visualization and exploration but also enabling the easy development of data-related web applications, including dashboards and interfaces to communicate with models. Its advanced features, such as callbacks, enhance its functionality. Additionally, the extensive and responsive community surrounding Dash further adds to its appeal. > > **Inconvénients**: There are no drawbacks to mention; it's an exceptionally good tool for its intended purpose ----- ### "A great complementary tool to Jupyter Notebooks" — 5.0/5 > **Etienne** | *15 février 2022* | Logiciels | Taux de recommandation : 10.0/10 > > **Avantages**: This tool allowed us to deliver something more meaningful to our clients rather than a script or a Jupyter Notebook. Client was able to see the code and play with its inherent interactivity. > > **Inconvénients**: Callback logic tends to let you think too much about the sequential events, less about parallel stuff. We would have hoped to find more examples in the documentation, we are forced to scrap Github repository for x specific feature. For example the architecture concepts explained are way too scarce. Some part of the doc is incomplete (Cytoscape and other UI kits) > > We have switched from a React app to a Dash by Plotly app. We've later added a full microservice architecture using FastAPI. The app was live and functional within 48 hours, we were amazed how fast was the lift off phase. Our journey with Dash has been mind blowing in term of data science experiments. Also our experience while manipulating network graph was greatly improved, this can help to model and build solutions to complex problems. In short our problem solving skills have been tremendously improved ----- Page : 1/2\ Suivant: [Page suivante](https://www.getapp.fr/software/2050350/dash-2?page=2) ## Liens - [Afficher sur GetApp](https://www.getapp.fr/software/2050350/dash-2) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-NZ | | | en-SG | | | en-ZA | | | fr | | | fr-BE | | | fr-CA | | | pt | | | pt-PT | | ----- ## Données structurées