Using conventional static code analysis, attention-based models, and a 360-degree Visualizer, Metabob is able to detect where problems are, how they interact with other aspects of your codebase, as well as offer plain-text recommendations on how to debug Python code.
Install Metabob on your favorite code hosting platform and through static Python code analysis, it will point out which pieces of code contain errors and anomalies.
The code review process is split up into 4 steps:
Install the app on your Github, Gitlab, or Bitbucket account and add your repositories into Metabob.
After every code commit, you can go to the app and check out the status of code.
Metabob highlights all classes, methods and functions that may contain buggy code.
Metabob will help you resolve bugs and save you time by providing code optimization suggestions
Debug Python code in half the time with Metabob.
Connect to Metabob through Github or Bitbucket and our machine learning algorithm will point out which pieces of code contain bugs and performance sinks, helping you stop the tedious hunt for source code anomalies.
Forget combing through source code — the code visualization tool helps you understand big picture flows and granular code dependencies, so you can:
Your team can now understand unfamiliar code in minutes with macro and micro views of your software.
Quickly find what you’re looking for by searching modules, functions, methods, variables and more in the data flows.
Click on one of the repositories below to see our static code analysis tool in action. Debugging code has never been more fun!
The plusminus package provides a ready-to-run arithmetic parser and evaluator
Errbot is a chatbot, connects to your favorite chat service and bring your tools and some fun into the conversation.