Machine Learning for Large Scale Code Analysis
New Watch a 5 minutes video to understand how the engine works
Why source{d}
Save time, improve your codebase quality,
and get actionable insights
Agility
Faster retrieval and analysis of your source code improving the efficiency of your engineering organization so you can always ship on time.
Quality
Improve the quality of your codebase with better Testing and QA, detecting potential defects and similar or duplicate code.
Intelligence
All your codebases in a single place coupled with powerful analytics tools to gain actionable insights for your teams and business.
How it works
source{d} powers Code as Data and
Machine Learning on Code
What you get?
source{d} Engine and source{d} Lookout
source{d} Engine
Code as Data
Leverage the source{d} Engine to turn your source code across versions into actionable data & business intelligence.
Features
- Source code retrieval and unification
- Language classification and parsing
- SQL interface for easy querying of repositories
- SDK for analysis beyond SQL
Use cases
- Code exploration
- Engineering Dashboards
- Business Intelligence
- Security vulnerability detection
- Continuous code quality
- and much more!
Learn More
source{d} Lookout
Machine Learning on Code
Distill all the knowledge from your code base to assist engineering teams to review code faster while missing fewer mistakes.
Features
- Inferred style guides
- Naming suggestions
- Common bug detection
- Performance bottlenecks identification
- Security vulnerabilities
- Suspicious code indicators
- Language agnostic assisted coding
Use cases
- Code reviewer attention guide
- Comment suggestion
- Author pre-check tool
We believe in Open Source and Open Science
At source{d} we are creating a suite of Open Source tools enabling "Code as Data" and "Machine Learning on Code". We are also great believers in Open Source and its philosophy.
Learn MoreTrusted by top engineers at world leading companies
Jessie Frazelle Software Engineer at Microsoft
source{d} is not only a great open source citizen with projects like gitbase and their collection of research papers on machine learning for code. They have the expertise and user experience skills to make something that will be truly revolutionary to the way developers interact with code.
Arnaud Porterie VP of Engineering at Vente Privée
source{d} Engine and Lookout are key building blocks for an entire new generation of developer tools, spanning from the individual developer experience to high-level code analytics dashboards, and I can't wait to see what this will bring us.
Jérôme Petazzoni Software Engineer at Docker
The folks at source{d} are doing neat deep learning on source code history; and, of course, it's in Docker containers🐳.
Joseph Jacks Founder & General Partner at OSS Capital
Combining code retrieval, language agnostic and git history tools with familiar APIs parsing, source{d} Engine not only simplifies large scale code analysis but also lays the foundation for effective Machine Learning on Code.
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Try source{d} Engine today
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