ltp
Linux Test Project (LTP) is a collaborative, long-running test suite maintained by major Linux vendors that validates kernel and system library stability through comprehensive test automation. It is not intended for production systems and serves as a reference for kernel quality assurance.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | linux-test-project/ltp |
| Owner | linux-test-project |
| Primary language | C |
| License | GPL-2.0 — OSI-approved |
| Stars | 2.6k |
| Forks | 1.1k |
| Open issues | 319 |
| Latest release | 20260529 (2026-05-29) |
| Last updated | 2026-07-08 |
| Source | https://github.com/linux-test-project/ltp |
What ltp is
LTP is a GPL-2.0 C-based test framework covering POSIX syscalls, kernel features, and libc functionality across Linux platforms. It includes stress-testing tools (growfiles, doio, iogen) designed to expose kernel reliability issues and has active community stewardship from SUSE, Red Hat, Fujitsu, IBM, Cisco, and Oracle.
Get the ltp source
Clone the repository and explore it locally.
git clone https://github.com/linux-test-project/ltp.gitcd ltp# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Plan for dedicated non-production test infrastructure; LTP workloads are destructive and unsuitable for shared or live systems.
- Understand test output format and log collection; integrate with CI/CD tooling (Jenkins, GitLab CI, etc.) for automated result tracking.
- Compile and configure LTP for target kernel version and architecture; not all tests apply to all configurations.
- Establish baseline performance and failure thresholds before integrating into regression pipelines.
- Monitor system state after LTP runs; tests may leave artifacts or require reboot for isolation.
When to avoid it — and what to weigh
- Production systems — LTP tests are explicitly not designed for production. Stress tools like growfiles and doio can cause data loss and system instability.
- Non-Linux or heavily customized kernels — LTP is Linux-specific. Porting to non-Linux systems or heavily forked kernels requires significant test adaptation.
- Real-time or safety-critical environments without isolation — LTP's aggressive stress tests can disrupt timing guarantees and safety properties unless run in isolated test environments.
- Need for commercial support SLA — LTP is community-maintained; formal commercial support is not explicitly offered. Requires in-house expertise or community engagement.
License & commercial use
GPL-2.0 (with GPL-2.0-or-later variants noted in README). Copyleft license requires source disclosure for modifications and redistribution.
GPL-2.0 is copyleft. Commercial use is permitted, but any modifications or derivative distributions must release source code under GPL-2.0 or later. Proprietary wrapping requires legal review. No implied warranty or indemnification. Consult legal counsel before using in closed-source products.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
LTP is a testing tool, not a security audit framework. Tests exercise kernel code paths; execution of LTP may trigger kernel bugs, memory safety issues, or denial-of-service conditions. Run only in isolated, non-production environments. No built-in sandboxing or privilege separation; runs with elevated privileges by design. Supply chain: source code is public and version-controlled on GitHub; review commit history and signatures for any custom deployments.
Alternatives to consider
kselftests (Linux Kernel self-tests)
Lighter-weight, in-kernel tests; shipped with Linux source. Use if testing specific subsystems; less comprehensive than LTP but lower overhead.
systemtap / kprobes
Dynamic kernel instrumentation for tracing and performance analysis. Complementary to LTP; use for targeted kernel debugging rather than comprehensive regression testing.
Syzkaller
Fuzzing framework for kernel syscall discovery and crash detection. Different purpose (fuzzing vs. regression); use alongside LTP for vulnerability research.
Build on ltp with DEV.co software developers
LTP is ideal for pre-production validation and stress testing. Assess your test infrastructure requirements, review the documentation, and engage the community via mailing list or GitHub. Not suitable for production—plan isolated test environments.
Talk to DEV.coRelated on DEV.co
Explore the category and the services that help you build with it.
ltp FAQ
Can LTP run on my production system?
How do I integrate LTP into a CI/CD pipeline?
What license restrictions apply if I modify LTP?
Who maintains LTP and where do I report issues?
Software development & web development with DEV.co
Adopting ltp is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate open-source testing software in production.
Evaluate LTP for your kernel and system testing needs.
LTP is ideal for pre-production validation and stress testing. Assess your test infrastructure requirements, review the documentation, and engage the community via mailing list or GitHub. Not suitable for production—plan isolated test environments.