Github's Top Programming Languages Over Time
The article discusses the popularity of programming languages based on the number of unique developers contributing to repositories on GitHub. It explains how the ranking of languages is determined by the count of developers who have made at least one git push. Additionally, it notes that metrics are only reported for economies with a minimum of 100 unique developers participating.
- ▪The programming languages metric reflects the most popular languages within an economy.
- ▪Languages are ranked based on the number of unique developers making contributions.
- ▪Metrics are reported only when there are at least 100 unique developers involved.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Github |
| Canonical URL | https://innovationgraph.github.com/global-metrics/programming-languages |
| Publication time | Fri, 29 May 2026 03:34:52 +0000 |
| Retrieval time | 2026-05-29T03:59:41.846Z |
| Last seen | 2026-05-29T03:59:41.846Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 3ZYPRJMYNTIa |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Programming languagesThe programming languages metric represents the most popular programming languages within an economy. It gives the total count of unique developers making at least one git push to a repository with a given programming language. See our documentation for repository languages for more information about how we detect programming languages.Top 50 Programming Languages GloballySelected economiesAllAfricaAsiaEUEuropeNorth AmericaOceaniaSouth AmericaMax rank3050Loading chart...How to read this chartEach data point corresponds to the rank of a programming language based on the count of unique developers who uploaded code to a repository containing that language during a given quarter.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Github.
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