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Interactive technology comparison · 32 languages & frameworks

Python vs. R

Two technologies, one match-up: live job market from real jobs, suitability per use case, profile, strengths and weaknesses.

Python vs. Java Python vs. JavaScript Python vs. TypeScript React vs. Angular React vs. Vue React vs. Next.js
Active jobs
1,170
Since
1991
Typing
dynamisch
VS
Active jobs
60
Since
1993
Typing
dynamisch

Python leads in 8 of 8 use cases.

Live from 7,804 jobs

Who wins on the job market?

Real figures from all IT jobs currently published on Jobriver – not estimates. Every number states its basis.

Open positions

Python is sought in 20 times as many job ads.

Remote or hybrid

Python 44 %
R 37 %

Basis: 1,170 and 60 jobs respectively

Senior & lead

Python 21 %
R 10 %

Junior jobs: 83 and 9 respectively

Salary according to job ads

Python €62,000n = 952
R €61,500n = 46

Editorial assessment

Suitability by use case

0 to 100 per use case. Hover over an axis for the values – everything is listed as a table below.

8:0use cases ahead

Web backend 1 Frontend & dashboards 2 Data science & ML 3 Mobile apps 4 Systems programming 5 Scripting & automation 6 Game development 7 DevOps & cloud 8
Suitability per use case
Use casePythonR
1Web backend 72good fit 20less suitable
2Frontend & dashboards 20less suitable 15less suitable
3Data science & ML 98excellent fit 95excellent fit
4Mobile apps 25less suitable 5less suitable
5Systems programming 30less suitable 10less suitable
6Scripting & automation 95excellent fit 60suitable
7Game development 40suitable 5less suitable
8DevOps & cloud 85excellent fit 20less suitable

Profile

Side by side.

PythonR
1991 Year released 1993
Multiparadigma (OOP, funktional, prozedural) Paradigm Funktional, statistisch
dynamisch Typing dynamisch
Performance
Popularity
Learning curve (lower = easier)

Python ist eine dynamisch typisierte, sehr gut lesbare Sprache mit riesigem Ökosystem. Dominiert Data Science, ML und Automatisierung und ist auch im Web-Backend stark vertreten.

R ist auf Statistik, Datenanalyse und Visualisierung spezialisiert. In Forschung und Data Science weit verbreitet, außerhalb davon kaum.

Market demand is based on real, active IT job ads on Jobriver. The 1-5 ratings are editorial assessments.

Strengths & weaknesses

What speaks for which?

Python

Pros

  • Sehr gut lesbar, ideal für Einsteiger
  • Unschlagbares Ökosystem für Data Science & ML
  • Riesige Community und Bibliotheksauswahl
  • Schnelle Entwicklung und Prototyping

Cons

  • Langsamer als kompilierte Sprachen
  • Schwach im Frontend und auf Mobile
  • Dynamische Typen erschweren große Codebasen
View Python jobs

R

Pros

  • Unschlagbar für Statistik & Visualisierung
  • Riesiges Paket-Ökosystem (CRAN)
  • Standard in Forschung & Data Science
  • Schnelle explorative Datenanalyse

Cons

  • Außerhalb von Statistik kaum nutzbar
  • Performance bei großen Daten begrenzt
  • Eigenwillige Syntax
View R jobs

Finder

Which one suits you?

What do you want to build?
What matters to you?
Type

How we calculate: average suitability for your use cases, +15 % weight per selected priority (learning curve, performance, jobs relative to the leader). Tie → alphabetical.

    More match-ups

    How else does Python fare?

    vs Python vs. Java Der robuste Enterprise-Klassiker Compare vs Python vs. JavaScript Die Sprache des Web - überall lauffähig Compare vs Python vs. TypeScript JavaScript mit statischen Typen Compare vs Python vs. C# Microsofts vielseitige .NET-Sprache Compare vs Python vs. PHP Die pragmatische Sprache des Webs Compare vs Python vs. C Die Mutter der Systemsprachen Compare

    FAQ

    Frequently asked questions about the technology comparison

    Salary comparison by role · IT skill trends

    How is the suitability per use case determined?

    For each technology we editorially assess how well it fits typical use cases (e.g. web backend, frontend, data science). The values are meant as guidance, not absolute truth.

    Where does the market demand come from?

    The number of open jobs comes directly from the active IT job ads on Jobriver - a real, continuously updated indicator of demand in the job market.

    Can I compare languages and frameworks together?

    Yes. You can choose freely - but the comparison is most meaningful within one category, e.g. two frontend frameworks or two languages.

    What do the 1-5 ratings mean?

    Learning curve, performance and popularity are compact editorial assessments on a scale from 1 to 5. For the learning curve, a lower value means an easier start.

    Which technology is the best?

    There is no universally best language or framework - it depends on the use case, the team and the existing ecosystem. That is exactly what this comparison is for.

    How current is the data?

    Market demand updates continuously from the active job ads. We maintain the editorial assessments regularly.

    Decided? Then on to the job.

    Active IT jobs with exactly this technology – with salary, remote share and tech stack.

    Python jobs R jobs