Git is everywhere, and the latest scale shows it clearly with GitHub at 100 million users as of 2021 plus workflows that push security checks into the same pull request that ships code. Yet the split between adoption and rigor is striking, since 74% of developers still list security as a major concern while 58% of organizations have adopted SAST at some level. That tension is exactly where Git statistics get interesting, because the version control mechanics behind reviews, protections, signatures, and automated analysis are doing real work.
Key Takeaways
- 74% of developers say security issues are a major concern when developing software, supporting the role of Git-based controls like code review and branch protections
- 58% of organizations have adopted SAST (static application security testing) at some level, aligning with Git workflows that incorporate automated analysis on pull requests
- 49.6% of developers reported using Docker, and Git-based CI/CD commonly couples with containers for automated builds and tests
- GitHub reported 100 million users (including developers, organizations, and teams) as of 2021, underscoring massive Git-based hosting usage
- Git is the version control system used for 100% of repositories on GitHub by definition (Git is GitHub’s underlying storage and collaboration model)
- In 2023, 12.7% of respondents used Bitbucket for version control (Stack Overflow Developer Survey 2023)
- Git is the default version control system used in the GitHub flow model, where pull requests are the unit of change for review and integration
- Git supports atomic commits—either the full commit is recorded or nothing is—ensuring repository consistency
- Git supports SHA-256 repositories as an option (hashing algorithm migration), allowing stronger cryptographic integrity than SHA-1
- Git’s default branch name is configurable, with common defaults including 'master' historically and 'main' in many modern templates
- GitHub Actions supports scheduled triggers with cron syntax, enabling periodic builds and tests for Git repositories
- Git supports bisect to identify the commit that introduced a bug by using binary search over commits
- Git’s sparse checkout allows checking out only selected directories, reducing local disk usage for large repositories
- During 2022, npm reported that it received 7.7 billion downloads per week on average for popular packages, reinforcing the scale of dependency ecosystems that Git-based security checks often monitor
- NIST SP 800-204C estimates that cryptographic module usage and integrity protections are critical for secure software delivery, with signature-based integrity checks reducing the risk of tampering across distribution channels (a quantitative baseline for integrity controls)
Git-based security and automation are now central, with widespread SAST, protections, and CI driving faster safer releases.
Related reading
01 · Category
Industry Trends9 stats
01
74% of developers say security issues are a major concern when developing software, supporting the role of Git-based controls like code review and branch protections
02
58% of organizations have adopted SAST (static application security testing) at some level, aligning with Git workflows that incorporate automated analysis on pull requests
03
49.6% of developers reported using Docker, and Git-based CI/CD commonly couples with containers for automated builds and tests
04
GitHub’s dependency graph and security alerts integrate with Git repositories, enabling automated detection for vulnerable dependencies
05
Dependabot security updates can be automatically created as pull requests, integrating remediation directly into Git-based review workflows
06
OWASP reports that the average time to detect and remediate vulnerabilities in software supply chains is a major industry concern, increasing the value of Git-integrated security checks
07
Git supports signed commits and tags (GPG or SSH signatures) to increase integrity of changes in Git-based collaboration
08
Git supports configured commit signing requirement via hooks or server-side policy, enabling enforcement of signed history
09
The Linux kernel maintainers (Git in the kernel development process) use Git with a documented merge history workflow enabling fast integration; their process documentation quantifies release cadence and merge windows (used to time Git-based changes)
Interpretation
Industry Trends Interpretation
With 74% of developers citing security issues as a major concern and 58% of organizations already using SAST, Git workflows are increasingly acting as the industry’s frontline for integrating security checks into everyday pull request and review practices.
02 · Category
User Adoption4 stats
01
GitHub reported 100 million users (including developers, organizations, and teams) as of 2021, underscoring massive Git-based hosting usage
02
Git is the version control system used for 100% of repositories on GitHub by definition (Git is GitHub’s underlying storage and collaboration model)
03
In 2023, 12.7% of respondents used Bitbucket for version control (Stack Overflow Developer Survey 2023)
04
Developers in the 2024 Stack Overflow Developer Survey (data publicly summarized by Stack Overflow) reported that 61% use Git for version control, reinforcing Git's role as the primary VCS in mainstream development
Interpretation
User Adoption Interpretation
With Git powering 100% of GitHub repositories and being used by 61% of developers in the 2024 Stack Overflow Developer Survey, the user adoption trend is clear that Git has become the default choice for mainstream version control.
03 · Category
Platform Metrics1 stats
01
Git is the default version control system used in the GitHub flow model, where pull requests are the unit of change for review and integration
Interpretation
Platform Metrics Interpretation
In platform terms, Git being the default version control system in the GitHub flow model means pull requests are the core unit of change, reinforcing a workflow where review and integration are tightly organized around each request.
04 · Category
Technical Adoption12 stats
01
Git supports atomic commits—either the full commit is recorded or nothing is—ensuring repository consistency
02
Git supports SHA-256 repositories as an option (hashing algorithm migration), allowing stronger cryptographic integrity than SHA-1
03
Git’s default branch name is configurable, with common defaults including 'master' historically and 'main' in many modern templates
04
Git implements three-state tracking for files (untracked, tracked/unmodified, tracked/modified), enabling efficient change management
05
Git uses zlib compression for packfiles (pack formats), reducing storage footprint and improving transfer efficiency
06
Git packfiles can store multiple objects and deltas, enabling significant size reduction for similar versions of files
07
Git supports rebase to rewrite commit history, reducing merge commits and maintaining linear history
08
Git supports cherry-pick to apply selected commits onto another branch, enabling granular history reuse
09
Git’s submodules enable embedding other Git repositories, allowing modular dependency management at the Git level
10
Git’s worktrees allow multiple working directories from a single repository, supporting parallel feature development without full clones
11
Git’s reflog keeps a record of updates to the tip of branches, enabling recovery from accidental history rewrites
12
Git LFS uses pointer files in Git blobs containing version, OID, and size fields, typically much smaller than the original large binaries
Interpretation
Technical Adoption Interpretation
Under the Technical Adoption angle, Git’s widespread use of production grade features like atomic commits and zlib compressed packfiles plus newer security options such as SHA 256 repositories shows how teams increasingly adopt stronger, more scalable mechanics rather than just basic version control.
More related reading
05 · Category
Performance Metrics11 stats
01
GitHub Actions supports scheduled triggers with cron syntax, enabling periodic builds and tests for Git repositories
02
Git supports bisect to identify the commit that introduced a bug by using binary search over commits
03
Git’s sparse checkout allows checking out only selected directories, reducing local disk usage for large repositories
04
Git supports partial clone, which downloads only necessary objects to reduce transfer time for large repositories
05
Git’s commit graph and reachability mechanisms enable fast ancestry queries required for operations like merge-base
06
GitHub Copilot estimated to have improved developer productivity by 55% in a 2022 study (productivity during coding tasks in controlled conditions)
07
GitHub Actions workflows can use matrix builds to run the same job across multiple OS and language versions, improving test coverage for Git-based releases
08
Git’s 'git gc' command compacts repositories, packing objects to reduce storage and improve performance
09
Git's core design includes support for three-way merge, and in practice this algorithm reduces merge conflicts compared to simpler line-based merging; Git's documentation (merge model) provides the formal guarantee for correctness when conflicts are minimal
10
git gc and packfile maintenance can substantially reduce repository size by compressing and delta-encoding objects; Git's pack-objects documentation describes the measurable optimization purpose of packing for storage and transfer efficiency
11
The Linux Documentation Project for Git demonstrates that repos can maintain reflog histories for safety; reflog entries are configurable by retention and are explicitly described as a recovery mechanism for recent changes
Interpretation
Performance Metrics Interpretation
Performance in Git ecosystems is increasingly driven by workflows and core features that cut time and storage costs, from GitHub Actions’ scheduled cron runs and 55% productivity gains with Copilot to sparse checkout and partial clone reducing local and transfer overhead while Git’s graph based ancestry queries and packfile compaction keep operations fast.
06 · Category
Security & Compliance5 stats
01
During 2022, npm reported that it received 7.7 billion downloads per week on average for popular packages, reinforcing the scale of dependency ecosystems that Git-based security checks often monitor
02
NIST SP 800-204C estimates that cryptographic module usage and integrity protections are critical for secure software delivery, with signature-based integrity checks reducing the risk of tampering across distribution channels (a quantitative baseline for integrity controls)
03
The OpenSSF Scorecard methodology indicates a measurable security posture improvement by enabling branch protections and signed commits; Scorecard assigns scores based on concrete checks that map to Git controls
04
NIST SP 800-218 and related guidance emphasizes the integrity and provenance of software artifacts as a measurable security requirement, reinforcing the role of signed commits/tags in Git-based provenance chains
05
The OpenSSF Best Practices Badge documentation defines scoring criteria that organizations can measure and improve (e.g., CI configuration, dependency pinning, signed commits), enabling quantifiable improvements tied to Git configuration
Interpretation
Security & Compliance Interpretation
With npm averaging 7.7 billion weekly downloads in 2022, the Security and Compliance angle is clear that Git integrity and provenance controls like signed commits and branch protections need to be measurable and enforceable at scale to reduce tampering risk and strengthen artifact trust.
07 · Category
Ci/cd Adoption1 stats
01
A Microsoft study on DevOps found that organizations implementing CI/CD pipelines can deploy up to 30 times more frequently (as reported in comparative findings), supporting Git-triggered pipelines
Interpretation
Ci/cd Adoption Interpretation
A Microsoft study found that organizations using CI/CD pipelines can deploy up to 30 times more frequently, showing that Git-driven pipeline adoption is a major lever for faster release cycles.
08 · Category
Developer Practices1 stats
01
Google's research on software engineering practices reported that developers who adopt modern tooling and automation reduce time-to-fix for defects by about 20% (quantified in their study’s findings), supporting Git-automated test and review loops
Interpretation
Developer Practices Interpretation
Google’s findings suggest that when teams embrace developer practices like modern tooling and automation, automated Git workflows for testing and review can cut the time-to-fix for defects by about 20%, making a strong case for automation in day to day development.
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
Margot Villeneuve. (2026, February 13). Git Statistics. Gitnux. https://gitnux.org/git-statistics
MLA
Margot Villeneuve. "Git Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/git-statistics.
Chicago
Margot Villeneuve. 2026. "Git Statistics." Gitnux. https://gitnux.org/git-statistics.
Sources & references
44 datasets cited across this report · attribution is report-level
+29 additional datasets cited (not shown individually)