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Static code analysis for Python that just works.

Discover bug risks, anti-patterns and security vulnerabilities before they end up in production.

Setup in under 5 minutes · Works with GitHub and GitLab · Free forever for open-source
Loved by open source teams at
Loved by open source teams at
SAS Software Intel NASA Jet Propulsion Lab Slack Okteto Dgraph Qubole
SAS Software Intel NASA Jet Propulsion Lab Slack Okteto Dgraph Qubole
Works the way you work
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Continuous analysis, cleaner code
Analysis on every code change, so you don't miss any potential bugs
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Faster code reviews
Automate and review code yourself first, reduce dependency on manual reviews.
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Establish coding standards
Detect & resolve violations of industry accepted Python standards PEP 8.
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Keep a check on code metrics
Get your test coverage, external-internal dependencies report and more.
DeepSource detects 520+ issues in your Python code
python static analysis issue examples detected by deepsource
Deliver reliable software, faster
1
Setup in minutes
Connect DeepSource with GitHub/GitLab, generate .deepsource.toml and auto commit directly to the repository to start analyzing code in less than 5 minutes. A single config file for all analyzers. For details, have a look at the docs.
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2
Fits right in your existing code review workflow
DeepSource is natively integrated with GitHub and GitLab. No extra configuration or maintenance needed. The analysis runs on every pull request, and reports back issues. Resolve them before the code is merged.
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3
Highly relevant results with context-aware analysis
Our analyzers understand your code's context and avoid any false positives. If something slips by chance, report to us and we'll patch it soon — we take each report very seriously.
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4
Everything you need to know about the issue
All information about errors detected is good. With DeepSource, you get to know more than just title and line number, such as category, occurrence path, when was it last-first seen, and description with possible solution for the issue.
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Resolved critical security issues in Python.
"DeepSource has enabled us to significantly improve the quality of our Python codebase. Security is a big deal. When we know that we have no security issues and that we have the green light it is an excellent measure of project health.
Lewis John McGibbney
NASA Jet Propulsion Laboratory
83M+
lines of code analyzed
7.3M+
unique issues detected
24s
average analysis time
No feature gating, transparent pricing

Discover 520+ issues in your Python codebase with DeepSource

Setup in under 5 minutes · Works with GitHub and GitLab · Free forever for open-source

GET STARTED