--- description: Detaillierte Informationen über RStudio Desktop zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: RStudio Desktop Erfahrungen, Vor- und Nachteile – Capterra Deutschland 2026 --- Breadcrumb: [Startseite](/) > [Source Code Control Systeme](/directory/31420/source-code-management/software) > [RStudio Desktop](/software/210152/rstudio) # RStudio Desktop Canonical: https://www.capterra.com.de/software/210152/rstudio Seite: 1 / 6\ Weiter: [Nächste Seite](https://www.capterra.com.de/software/210152/rstudio?page=2) > Statistisches Analyseprogramm, das eine integrierte Entwicklungsumgebung für R bereitstellt. So können Teams Arbeitsbereiche entwickeln, teilen und verwalten. > > Bewertung: **4.7/5** von 118 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Übersicht ### Wer verwendet RStudio Desktop? Wurde für Datenwissenschaftler und spezifische Teams von Unternehmen in der Wissenschafts-, Regierungs- und Bildungsbranche entwickelt, die die Programmiersprachen R und Python verwenden. ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.7/5** | 118 Nutzerbewertungen | | Bedienkomfort | 4.3/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.3/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.7/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.6/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 90% | (9/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: Posit - **Region**: Boston, USA ## Gewerblicher Kontext - **Startpreis**: 4.975,00 $ - **Preismodell**: (Kostenlose Version verfügbar) (Kostenlose Testversion) - **Zielgruppe**: Selbstständig, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Bereitstellungen und Plattformen**: Mac (Desktop), Windows (Desktop) - **Unterstützte Sprachen**: Englisch - **Verfügbare Länder**: Vereinigte Staaten ## Funktionen - Code-Bearbeitung - Code-Entwicklung - Codeprüfung - Continuous Integration - Datenmodellierung - Debuggen - Grafische Benutzeroberfläche - Versionskontrolle - für Entwickler ## Category - [Source Code Control Systeme](https://www.capterra.com.de/directory/31420/source-code-management/software) ## Ähnliche Kategorien - [Source Code Control Systeme](https://www.capterra.com.de/directory/31420/source-code-management/software) - [IDE Software (Integrierte Entwicklungsumgebung)](https://www.capterra.com.de/directory/32755/integrated-development-environment-%28ide%29/software) ## Alternativen 1. [IntelliJ IDEA](https://www.capterra.com.de/software/136010/intellij-idea) — 4.7/5 (1256 reviews) 2. [Microsoft Visual Studio](https://www.capterra.com.de/software/101288/microsoft-visual-studio) — 4.6/5 (3004 reviews) 3. [PyCharm](https://www.capterra.com.de/software/186625/pycharm) — 4.7/5 (368 reviews) 4. [Eclipse IDE](https://www.capterra.com.de/software/205298/eclipse-ide) — 4.3/5 (202 reviews) 5. [Apache NetBeans](https://www.capterra.com.de/software/178681/apache-netbeans) — 4.3/5 (231 reviews) ## Nutzerbewertungen ### "RStudio, your Python buddy IDE" — 4.0/5 > **Austin** | *11. April 2024* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: I think the best thing about RStudio Desktop are the scheduler for Python scripts, personally these have saved hours of tedious work making it a must-use tool for our team. > > **Nachteile**: Maybe the first time configuration could be a little more intuitive or assisted, once you set up the initial config it's really simple to follow along tutorials or videos to make work. > > I was a user migrated from Eclipse to RStudio, and the change of coding language and environment was rough at the start, but once it gets going, it's amazing how fast you can solve every day problems like it's nothing. ----- ### "R for Data Analysts" — 5.0/5 > **Vivek** | *19. November 2021* | Verbraucherdienste | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: It has always been a tool for statisticians. It provides very specific ML libraries for very specific tasks. The libraries are strategically developed to cater to every minute hyperparameter tuning to achieve optimum results. RStudio allows the codes to be converted to markdowns which can be converted to HTML pages and published as websites effortlessly. > > **Nachteile**: As mentioned, the R language is quite challenging for naïve users and hence its documentation is also very technical. Its requires some time to gain hands-on experience to get used to this tool. The customer support is also not quite established as compared to python. > > R was created keeping the data science community in mind, and till date it has lived up to their standards. It is a tool purely focused on analytics and creation of machine learning models. Its libraries allows users to tweak every possible parameters to get the desired results. ----- ### "R Studio - larger learning curve than SPSS but will save you money" — 3.0/5 > **Verifizierter Rezensent** | *22. September 2020* | Forschung | Empfehlungsbewertung: 7.0/10 > > **Vorteile**: I love the price of R/Rstudio - free\! Competitors such as SPSS/IBM are expensive for one year licenses. I love how Rstudio is open source. > > **Nachteile**: I dislike how it's more similar to traditional python coding. Competitors such as SPSS have point and click options that are more comprehensive and straightforward. > > R studio works well, but it could be better. It's an open source software so I do not know if I should expect it to be better, though. You get more than what you pay for (nothing), but the expensive options are worth the price if you can afford it. ----- ### "Great tool for coding in R" — 5.0/5 > **Prince** | *19. Mai 2021* | Landwirtschaft | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: This is the best way to code in R and run code that could be helpful for all tasks from the mundane (like renaming or moving files) to the more advanced (like calculations across multiple excel sheets and creating a new master excel sheet with all of the data). Variables are clearly defined in the workspace at the top right, console at the bottom left - your typical work layout which helps with consistency. Overall, I love how powerful it is and like how many different packages are available. > > **Nachteile**: It's not as fast as some other software, but even for being free, this is more than enough. There isn't a lot of help for using this program either and I feel like I only knew about it because we've used it in school. Overall, the UI could get an update in looks to be more updated with the current times. > > I've used RStudio to build out code that can help run simple systems that help save a lot of time. Our most important need is that we had to do calculations using data from different sources that can manually take hours but RStudio allows us to get it done within minutes\! And the best thing is that you can customize the output better than some other software out there. So overall, I like it a lot but I can understand why some may need something even more powerful. ----- ### "Exceptional IDE for Working with Data" — 5.0/5 > **Verifizierter Rezensent** | *30. März 2021* | Tiefbau | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: RStudio is a delightful IDE for working with Rlang and data. The ability to view tables instantly as you write each line of code allows for deeper insights and better coding. The table viewer even has sort and filtering functions to assist with the coding. The IDE functions make finding the right code commands and their arguments as simple as can be hoped. The layout of the screen and the ability to break out separate windows is really great and makes using the software on a single screen or multiple screens very friendly. > > **Nachteile**: Missing since of the third party add-ons of IDEs like PyCharm or Visual Studio that enable greater customisation. > > I have found using RStudio intuitive, easy, and fun to use. I continue to marvel at the big and little things the developers have implemented that makes this a world class IDE and an indispensable tool for data analysis, data visualization, and general purpose coding. ----- Seite: 1 / 6\ Weiter: [Nächste Seite](https://www.capterra.com.de/software/210152/rstudio?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.com.de/software/210152/rstudio) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | 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 | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Strukturierte Daten