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Was ist Orange?

Open-Source-Datenvisualisierung und Machine Learning Suite. Bietet visuelle Programmierung zur Erstellung von Analyse-Workflows.

Wer verwendet Orange?

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Orange

Orange

4,2 (18)
Keine Preise gefunden
Kostenlose Version
Kostenlose Testversion
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4,2 (18)
4,3 (18)
3,8 (18)
VS.
Startpreis
Preisoptionen
Funktionen
Integrationen
Benutzerfreundlichkeit
Preis-Leistungs-Verhältnis
Kundenservice
1.780,00 $
Jahr
Kostenlose Version
Kostenlose Testversion
50
3
4,1 (309)
4,2 (309)
4,2 (309)
Die grünen Bewertungsbalken geben an, welches Produkt gemessen an der Durchschnittsbewertung und der Zahl der Bewertungen am besten abschneidet.

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Für dieses Produkt wurden noch keine Funktionen durch Nutzer bewertet.

Bewertungen über Orange

Durchschnittliche Bewertung

Gesamt
4,2
Benutzerfreundlichkeit
4,2
Kundenservice
3,8
Funktionen
4,3
Preis-Leistungs-Verhältnis
4,3

Nutzerbewertungen nach Unternehmensgröße (Angestellte)

  • <50
  • 51-200
  • 201-1.000
  • >1.001

Bewertungen nach Punktzahl finden

5
17%
4
83%
Olga
Olga
Edutainment Coach in Russland
Verifizierter Nutzer auf LinkedIn
Bildungsmanagement, 2–10 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

An Amazing Tool for Data Visualization, Machine Learning and Data Mining

5,0 vor 4 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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).

Tariq Mahmood
Tariq Mahmood
Assistant Manager HCM in Pakistan
Verifizierter Nutzer auf LinkedIn
Unterhaltungselektronik, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Machine Learning, Perdiction based data viulization

4,0 vor 4 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Salman
Salman
Assistant Manager (PPC-CRP) in Pakistan
Verifizierter Nutzer auf LinkedIn
Textilien, 10.000+ Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

easy product selection, order, and checkout, to convenient online payment, shipping, and delivery—e

4,0 vor 3 Jahren

Kommentare: It's a good platform

Vorteile:

Everything you need to start online today grow your business

Nachteile:

No one can buy during site crush Can't try before buy Highly competitive

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Elektrische/elektronische Fertigung, 1.001–5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Effective usage of data Visualization and Statistical ML models.

4,0 vor 3 Jahren

Kommentare: Overall found it useful while working on raw data, used in designing Electrical consumption of appliances, and assessment.

Vorteile:

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.

Nachteile:

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/

Lisa
Lisa
Master of Science in Analytics in USA
Verifizierter Nutzer auf LinkedIn
Hochschulbildung, 11–50 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Herkunft der Bewertung

Orange is for non programmers who want to learn Machine Learning!

4,0 vor 6 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.