Git commits are the connective tissue of modern code collaboration, from public open-source to day-to-day professional teams. This page maps real-world Git usage trends, then breaks down commit structure and identifiers. We also look at how pull requests behave in practice—plus what shows up in workflows like force-pushes, reverts, and merge conflicts—so you can connect Git mechanics to collaboration and quality signals.
Key Takeaways
- 8.6% of developers reported using version control systems as part of their development workflow besides Git in 2022 (share includes other VCS categories)
- Git is used by 88.3% of professional developers as their primary version control system in 2023 (Stack Overflow Developer Survey)
- Git is used by 86.0% of professional developers as their primary version control system in 2024 (Stack Overflow Developer Survey)
- GitLab has 30 million users (GitLab 2024 annual report figure used in GitLab’s investor materials)
- Git’s object storage uses content-addressed SHA-1 hashes for commits, trees, and blobs (Git documentation: commit format and SHA-1 naming)
- Git’s packfile compression reduces repository storage; Git documentation states that packfiles store objects with zlib compression (practically improving disk usage)
- Git uses the SHA-1 hash length of 20 bytes (160 bits) to address objects in classic mode (Git object format documentation)
- GitHub’s REST API documentation specifies that the commit resource includes a SHA identifier (40-hex-character SHA-1 in legacy mode)
- The pre-commit hook documented as running before committing and can be used to prevent commits (Git documentation)
- GitHub’s CODEOWNERS file mapping uses path patterns and owners list; standard includes at-signs for users/teams (GitHub docs)
- 97% of software developers reported using Git as of 2024 when asked about version control tools (VCS usage in professional contexts).
- 8.4% of all commits in public repositories originate from bots (automated accounts) in a large-scale public-repo mining study published in 2020.
- 31% of pull requests are created within the same day of their corresponding commits (median PR creation lag measured from commit timestamps).
- 26% of commits modify 5 or fewer lines (commit size distribution measured in large software repository mining).
- 0.7% of all commits introduce build failures in downstream continuous integration runs (measured across CI checks in an empirical software engineering study).
Git dominates version control, while most pull requests merge quickly and only small fractions of commits cause failures.
Related reading
01 · Category
Collaboration Metrics8 stats
01
23% of contributors in large OSS projects make fewer than 10 commits in a year (commit contribution distribution).https://journals.sagepub.com/doi/10.1177/1043984320947783
02
54% of projects in a 2019 study relied on pull requests as their primary code integration mechanism (PR adoption rate in analyzed ecosystems).https://dl.acm.org/doi/10.1145/3313831.3376174
03
2.8 average reviewers per pull request are observed in large-scale mining of PR workflows (mean reviewer count).https://www.sciencedirect.com/science/article/pii/S0164121219302468
04
71% of commits are made by contributors who have previously committed to the same repository (repeat contributor share observed in mining studies).https://ieeexplore.ieee.org/document/8721691
05
34% of pull requests include documentation-only changes (PR diff category analysis in an empirical study).https://www.sciencedirect.com/science/article/pii/S0164121218311129
06
37% of developers reported that their teams use pull requests at least daily in 2022 (frequency of PR usage in team workflows).https://www.developerinsights.com/reports/pull-request-adoption-2022
07
6.6% of contributors account for 50% of commits in many large projects (concentration ratio observed in OSS contribution studies).https://www.sciencedirect.com/science/article/pii/S016412120900058X
08
10.4% of pull requests have no description text (measured PR body completeness rate).https://www.sciencedirect.com/science/article/pii/S0164121221001602
Interpretation
Collaboration Metrics Interpretation
Collaboration in large OSS and team workflows is heavily driven by pull requests, with 54% of projects relying on them as the main integration method and 37% of developers using them at least daily, while a strong 71% of commits come from repeat contributors, suggesting that sustained contributor engagement and PR-based collaboration work together to move projects forward.
02 · Category
Performance Metrics7 stats
01
Git’s object storage uses content-addressed SHA-1 hashes for commits, trees, and blobs (Git documentation: commit format and SHA-1 naming)https://git-scm.com/docs/gitformat-pack
02
Git’s packfile compression reduces repository storage; Git documentation states that packfiles store objects with zlib compression (practically improving disk usage)https://git-scm.com/book/en/v2/Git-Basics-Viewing-the-Commit-History
03
Git uses the SHA-1 hash length of 20 bytes (160 bits) to address objects in classic mode (Git object format documentation)https://git-scm.com/docs/gittutorial
04
In a large-scale study, 80% of pull requests are merged without manual rebasing (observed pattern in OSS mining study)https://dl.acm.org/doi/10.1145/3190508.3190532
05
A study of GitHub data found that the median time from commit to merge is under 1 day for many projects (mining study of pull request lifecycle)https://arxiv.org/abs/1906.01352
06
Git’s three-way merge algorithm is O(n) in the size of the changed lines (stated in Git merge algorithm explanation)https://git-scm.com/book/en/v2/Git-Branching-Basic-Branching-and-Merging
07
Git LFS stores file pointers instead of large binaries; Git LFS pointer files are typically ~130 bytes in size (Git LFS specification)https://github.com/git-lfs/git-lfs/blob/main/docs/spec.md
Interpretation
Performance Metrics Interpretation
In this performance-focused view, Git’s efficiency is underscored by practical scalability details like zlib-compressed packfiles and O(n) three-way merge behavior, alongside workflow speed where 80% of pull requests are merged without manual rebasing and many projects see commit-to-merge times under 1 day.
03 · Category
Governance & Standards5 stats
01
GitHub’s REST API documentation specifies that the commit resource includes a SHA identifier (40-hex-character SHA-1 in legacy mode)https://docs.github.com/en/rest/commits/commits
02
The pre-commit hook documented as running before committing and can be used to prevent commits (Git documentation)https://git-scm.com/docs/githooks
03
GitHub’s CODEOWNERS file mapping uses path patterns and owners list; standard includes at-signs for users/teams (GitHub docs)https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
04
Git’s “Signed-off-by” lines are used for developer-by-developer origin certification; Git documentation describes the sign-off footer format with “Signed-off-by: name <email>”https://git-scm.com/docs/git-commit
05
GitHub supports commit signature verification with “verified” status; documentation defines the verified check derived from cryptographic signatureshttps://docs.github.com/en/authentication/managing-commit-signature-verification/about-commit-signature-verification
Interpretation
Governance & Standards Interpretation
Across these Governance and Standards signals, from the documented SHA format to the verified commit and CODEOWNERS policy structure, GitHub and Git consistently emphasize cryptographically and procedurally governed metadata with the 40 hex character legacy SHA‑1 identifier serving as a concrete anchor for how standardized commit identity is enforced.
More related reading
04 · Category
Usage Patterns5 stats
01
8.4% of all commits in public repositories originate from bots (automated accounts) in a large-scale public-repo mining study published in 2020.https://ieeexplore.ieee.org/document/9155437
02
31% of pull requests are created within the same day of their corresponding commits (median PR creation lag measured from commit timestamps).https://dl.acm.org/doi/10.1145/3313831.3376176
03
26% of commits modify 5 or fewer lines (commit size distribution measured in large software repository mining).https://ieeexplore.ieee.org/document/8418610
04
5.8% of repositories show evidence of force-push usage (history rewriting events detected in mining).https://ieeexplore.ieee.org/document/8356331
05
1.2% of commits are amended (amend events detected by comparing commit SHAs and parentage patterns in repository history).https://ieeexplore.ieee.org/document/9375537
Interpretation
Usage Patterns Interpretation
In the Usage Patterns angle, most commits look like quick, small human changes, with 31% of pull requests opened the same day and 26% of commits touching 5 or fewer lines, while bot activity remains notable at 8.4% and force-push or amend behavior is comparatively rare at 5.8% and 1.2% respectively.
05 · Category
Quality & Risk5 stats
01
0.7% of all commits introduce build failures in downstream continuous integration runs (measured across CI checks in an empirical software engineering study).https://ieeexplore.ieee.org/document/9472280
02
18% of developers reported encountering merge conflicts at least once per week in 2023 (survey question on frequency of merge conflicts).https://www.jetbrains.com/lp/devecosystem-2023/
03
1.6% of commits are reverted (measured as commit SHAs appearing in revert commits within the same repository history in a repository-mining study).https://ieeexplore.ieee.org/document/9337031
04
12% of commits include whitespace-only changes (measured classification of diff content categories in an empirical study).https://ieeexplore.ieee.org/document/9090335
05
15% of repositories require code owners review approvals before merge in a 2021 audit of branch protection and review policies (policy adoption measured across repos).https://www.usenix.org/conference/soups2021/presentation/chen
Interpretation
Quality & Risk Interpretation
Quality and risk issues in Git activity are relatively uncommon at the commit level but still persistent at the process level, with only 0.7% of commits causing downstream CI build failures and 1.6% being reverted while 18% of developers report weekly merge conflicts and 15% of repositories require code owners approvals to merge.
06 · Category
Overview7 stats
01
8.6% of developers reported using version control systems as part of their development workflow besides Git in 2022 (share includes other VCS categories)https://survey.stackoverflow.co/2022/
02
Git is used by 88.3% of professional developers as their primary version control system in 2023 (Stack Overflow Developer Survey)https://survey.stackoverflow.co/2023/
03
Git is used by 86.0% of professional developers as their primary version control system in 2024 (Stack Overflow Developer Survey)https://survey.stackoverflow.co/2024/
04
2.1% of repositories enforce commit message linting or hooks (presence of tooling-configured constraints measured in a study of repo automation).https://ieeexplore.ieee.org/document/9702926
05
0.9% of commits include changes to build scripts (e.g., CI config, build system files) in large-scale repository analyses (build-script change share).https://ieeexplore.ieee.org/document/10025047
06
GitLab has 30 million users (GitLab 2024 annual report figure used in GitLab’s investor materials)https://about.gitlab.com/press/
07
97% of software developers reported using Git as of 2024 when asked about version control tools (VCS usage in professional contexts).https://www.jetbrains.com/lp/devecosystem-2024/
Interpretation
Industry Overview Interpretation
In the Industry Overview, Git remains overwhelmingly dominant as the primary version control system for 86.0% of professional developers in 2024, while only 2.1% of repositories enforce commit message linting or hooks, suggesting that most teams are still focused on core version control rather than standardized commit-quality practices.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Emilia Santos. (2026, February 13). Git Commit Statistics. Gitnux. https://gitnux.org/git-commit-statistics
MLA
Emilia Santos. "Git Commit Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/git-commit-statistics.
Chicago
Emilia Santos. 2026. "Git Commit Statistics." Gitnux. https://gitnux.org/git-commit-statistics.
Sources & references
37 datasets cited across this report
+24 additional datasets cited (not shown individually)