--- description: Orange : avantages et inconvénients. Lisez les avis clients, consultez les prix et découvrez les fonctionnalités. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Orange - Avis, notes, prix et abonnements - Capterra Canada 2026 --- Breadcrumb: [Accueil](/) > [Outils de data visualisation](/directory/30696/data-visualization/software) > [Orange](/software/164505/orange) # Orange Canonical: https://fr.capterra.ca/software/164505/orange Page : 1/2\ Suivant: [Page suivante](https://fr.capterra.ca/software/164505/orange?page=2) > Visualisation de données open source et suite de machine learning. Inclut une programmation visuelle permettant de construire des flux de travail d'analytique. > > Conclusion : 19 utilisateurs lui ont donné la note de **4.2/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.2/5** | 19 Avis | | Simplicité | 4.2/5 | D'après l'ensemble des avis | | Support client | 3.8/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.3/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.3/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 80% | (8/10 Probabilité de recommander le produit) | ## À propos du vendeur - **Entreprise**: University of Ljubljana ## Contexte commercial - **Type de licence**: (Version gratuite disponible) (Version d’essai gratuite) - **Public cible**: Travailleur autonome, 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Déploiement et plateformes**: Mac (ordinateur), Windows (ordinateur) - **Langues**: anglais - **Pays disponibles**: Slovénie ## Fonctionnalités - Analyse prédictive - Analyse statistique - Analyse visuelle - Découverte en images - Fouille de textes (test mining) - Gestion des données liées - Rapports et analyses - Recherche/Filtre - Tableau de bord personnalisable - Visualisation de données ## Ressources d'aide - Chat/Clavardage ## Category - [Outils de data visualisation](https://fr.capterra.ca/directory/30696/data-visualization/software) ## Catégories connexes - [Outils de data visualisation](https://fr.capterra.ca/directory/30696/data-visualization/software) - [Logiciels de data mining](https://fr.capterra.ca/directory/31083/data-mining/software) ## Logiciels similaires 1. [Microsoft Power BI](https://fr.capterra.ca/software/176586/power-bi) — 4.6/5 (1870 reviews) 2. [Tableau](https://fr.capterra.ca/software/77260/tableau) — 4.6/5 (2348 reviews) 3. [Google Analytics 360](https://fr.capterra.ca/software/177042/google-analytics) — 4.7/5 (8089 reviews) 4. [Canva](https://fr.capterra.ca/software/168956/canva) — 4.7/5 (13245 reviews) 5. [Google Charts](https://fr.capterra.ca/software/176573/google-charts) — 4.6/5 (740 reviews) ## Avis ### "Machine Learning, Perdiction based data viulization" — 4.0/5 > **Tariq Mahmood** | *8 juillet 2020* | Électronique grand public | Taux de recommandation : 9.0/10 > > **Avantages**: Best ever tool to visualize large data with basic configuration even by UI steps, like data flows and variable flows. Much effective in statistic process control, prediction and forecasting. It’s my essential tool while planning and deep through into large data, Machine learning and prediction models are awesome usage while testing hypothesis models. User interface, graphs, are really helpful to determine full meaning of data, so in data mining and data science it is a worthy tool with cool UI with easy usage. Machine learning, data prediction further can be used with programming in AI and other automated detection tools. Performance is awesome working on data, very easy to install. > > **Inconvénients**: Live visualization can’t be obtained from a database or data source, somehow it should be linked like simulated tool, like graph is running as data changing. Saas, domain or remotely usage is not available. Graphs can’t be further used in another presentation with data source, a screenshot is only can be copied. > > Used in human resource planning, need of training in human resource development. Analyzed visuals of unemployment vs employed life's essential to get motivational reforms. Used in finance settlement predictions. ----- ### "An Amazing Tool for Data Visualization, Machine Learning and Data Mining" — 5.0/5 > **Olga** | *31 août 2020* | Gestion de l'enseignement | Taux de recommandation : 10.0/10 > > **Avantages**: I was using this program when I was doing my first Master's in Fundamental and Applied Linguistics, and the software turned out to be indispensable for my qualitative and quantitative research. I used the tool for lots of different operations, such as Linear Regressions, K-Means Clustering, working with Heat Map, Venn Diagram, t-SNE, Text Preprocessing, Topic Modelling, Concordance and Sentiment Analysis as well as working on Correlations and Data Tables. The most pleasant thing was that this software is compatible with Linux (mine was Ubuntu), but for some weird reason it worked better on Windows despite it should have liked more the native Python environment. However, it is really an outstanding tool, I really appreciate this great thing. I think it would be good if the developers worked on creating a more powerful version with paid subscriptions. Just an idea for the guys to consider in the future. > > **Inconvénients**: I had experienced some problems with doing Sentiment Analysis using by Orange (there were some widget or plugin trouble, for some weird reason the Sentiment Analysis thing was working perfectly only with some specific sets of data and languages). > > That's splendid. I want to sincerely thank you. A great tool for researchers, scientists, Master's and PhD students, data scientists, and everyone who is keen on Data Mining, Machine Learning and Data Visualization. ----- ### "easy product selection, order, and checkout, to convenient online payment, shipping, and delivery—e" — 4.0/5 > **Salman** | *22 juin 2021* | Textile | Taux de recommandation : 4.0/10 > > **Avantages**: Everything you need to start online today grow your business > > **Inconvénients**: No one can buy during site crush Can't try before buy Highly competitive > > It's a good platform ----- ### "Orange is for non programmers who want to learn Machine Learning\!" — 4.0/5 > **Lisa** | *16 octobre 2018* | Enseignement supérieur | Taux de recommandation : 8.0/10 > > **Avantages**: The graphical user interface of orange is great for someone who is not a programmer but wants to execute analytic workflows on machine learning on their dataset. The interface is nicely designed and the analytics workflow is easy to create with the use of drag and drop of its widgets. The widgets available are extensive and would enable users to clean, visualize, build models for supervised and unsupervised learning and validate their model. Orange has put together resources for its users to pick up machine learning on their own. There are also several tutorial videos as well on the website. > > **Inconvénients**: We aren't able to set.seed in the software which causes results and analysis to not be reproducible. Orange does not provide enough parameters to tweak for advanced users. For instance, the randomForest widget does not allow the user to see which variables have the highest information gain. > > Overall my experience with Orange has been fruitful for me as I picked up machine learning concepts without allowing my basic coding knowledge to hinder me. The interface is prettier than weka(another GUI tool for machine learning) There are several preloaded datasets that has already been clean and users can take advantage of those and follow through the documentation that is provided. My favorite one is the titanic dataset that predicts if the person survives or not depending their gender, class and the number of siblings/spouses they have. ----- ### "Effective usage of data Visualization and Statistical ML models." — 4.0/5 > **Utilisateur vérifié** | *7 août 2021* | Fabrication électrique/électronique | Taux de recommandation : 8.0/10 > > **Avantages**: Used in big data analysis, found extremely easier while getting data insights and prediction with a few basic configurations, graphs, charts of external data like excel, CSV, and MySQL table are supported to perform. Machine learning and statistical-based machine learning models are useful while working with AI/automation-based analysis, data flow with variables can be defined as draggable options, no huge coding is required, while for advanced scenarios coding options is also available. > > **Inconvénients**: Graphics are poor formats, poor functions in charts, like histogram can not be modified after putting the data and variables, while even in excel its is configurable, support with ERPs is not available, some APIs type configuration should be available to work on ERPs data/ > > Overall found it useful while working on raw data, used in designing Electrical consumption of appliances, and assessment. ----- Page : 1/2\ Suivant: [Page suivante](https://fr.capterra.ca/software/164505/orange?page=2) ## Liens - [Afficher sur Capterra](https://fr.capterra.ca/software/164505/orange) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | pt | | | pt-PT | | ----- ## Données structurées