AI ERP with agents inside the systems you run
AI phone and voice agents for real calls
LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
CyberAttack.aiThreat detection and defense
Secure AI virtual data roomsrobotframework
Robot Framework is an open-source Python-based automation tool for writing acceptance tests, test-driven development, and robotic process automation (RPA) using simple, human-readable syntax. It supports cross-platform and cross-application testing with extensibility through custom libraries and a rich ecosystem of plugins.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | robotframework/robotframework |
| Owner | robotframework |
| Primary language | Python |
| License | Apache-2.0 — OSI-approved |
| Stars | 11.7k |
| Forks | 2.6k |
| Open issues | 292 |
| Latest release | v7.4.2 (2026-03-03) |
| Last updated | 2026-07-07 |
| Source | https://github.com/robotframework/robotframework |
What robotframework is
Python 3.8+ framework providing keyword-driven test automation with plain-text syntax (Robot language), CLI execution via `robot` and `rebot` commands, and extensibility through Python-based library development. Runs on CPython and PyPy; legacy versions support Python 2 via Jython/IronPython.
Get the robotframework source
Clone the repository and explore it locally.
git clone https://github.com/robotframework/robotframework.gitcd robotframework# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires Python 3.8+ runtime; ensure target environments have compatible Python installation and pip/package management in place.
- Keyword library selection is critical (Selenium, Browser, REST, Database, etc.); evaluate ecosystem libraries early for compatibility with your tech stack.
- Test organization grows complex at scale; establish clear naming conventions, resource file hierarchy, and shared keyword libraries to maintain readability.
- Integration with CI/CD pipelines straightforward via CLI; plan for result parsing (XML/HTML reports) and artifact storage in your pipeline.
- Custom library development in Python; teams must have Python fluency or access to Python developers for domain-specific extensions.
When to avoid it — and what to weigh
- Performance-critical or low-latency automation — Python and keyword interpretation overhead may not suit microsecond-scale performance requirements or high-throughput load testing scenarios.
- Complex programmatic logic required — If your automation needs heavy conditional branching, data transformation, or algorithm-heavy processing, Robot Framework's keyword-driven model can become unwieldy; use a native programming language instead.
- Proprietary, closed-source licensing constraint — Apache 2.0 is permissive but not compatible with some closed-source derivative work restrictions; verify your licensing requirements.
- Mobile native app automation at scale — While Appium integration is possible, Robot Framework is not optimized for large-scale native mobile testing; dedicated mobile frameworks may be more efficient.
License & commercial use
Apache License 2.0 (permissive, OSI-approved). Allows commercial use, modification, and distribution with attribution and indemnification clause. Documentation uses Creative Commons Attribution 3.0 Unported.
Apache 2.0 permits commercial use, modification, and redistribution. No license payment required. Derivative works must include license notice and changes. Verify compliance with your organization's legal review; no liability indemnification is offered by the framework authors. Sponsored by non-profit Robot Framework Foundation.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
No security audit details provided in README. Execution model (Python subprocess) inherits Python environment security posture; sensitive data in test files (credentials, API keys) should use environment variables or vaults, not plain text. Supply chain risk exists via dependencies (Selenium, etc.); regular updates recommended. No mention of static analysis, signed releases, or vulnerability disclosure policy.
Alternatives to consider
Selenium (native)
Lower-level control for UI testing; steeper learning curve but more flexible for complex scripting and performance-critical scenarios.
Cypress
Modern JavaScript-based web testing with superior developer experience; better for pure UI/SPA testing but lacks RPA and cross-platform breadth.
Cucumber (Gherkin)
Keyword-driven BDD in Gherkin syntax; lighter, language-agnostic backend; weaker RPA support and smaller ecosystem than Robot Framework.
Build on robotframework with DEV.co software developers
Let our team assess your test strategy, library requirements, and CI/CD integration plan. We'll help you avoid common pitfalls and optimize your automation architecture.
Talk to DEV.coRelated open-source tools
Surfaced by semantic similarity across the DEV.co open-source index.
Related on DEV.co
Explore the category and the services that help you build with it.
robotframework FAQ
Can Robot Framework execute tests in parallel?
What Python versions are supported?
Is Robot Framework suitable for load/stress testing?
How do I manage test data and secret credentials?
Build it with a software development company
From first prototype to production, DEV.co delivers custom software development around tools like robotframework. We staff experienced engineers for integrations, web development, and ongoing support across open-source testing and beyond.
Ready to evaluate Robot Framework for your automation needs?
Let our team assess your test strategy, library requirements, and CI/CD integration plan. We'll help you avoid common pitfalls and optimize your automation architecture.