5 Python Bug Fixing Tools Essential For Developers

Coding is a time-consuming task and of late there has been a slew of bug-fixing tools that allow code checks and auto code completion. The bud fixing tools alert you in the form of notifications or dashboard about the insights of your work as well as the status that you are developing. These tools will instantly let the developer know when an error occurs.

In this article, we list down five Python bug/error fixing tools one can use.


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1| Sentry

Sentry is an open-source error tracking tool which provides details in real-time that you need to fix your bugs as well as visibility across your entire work. This tool not only supports Python but also some other languages such as Ruby, JavaScript, Django, iOS, etc. The tool offers SDKs for every framework, platform, and language, making it incredibly easy to integrate into any application. This error tracking tool is trusted by some renowned companies such as Microsoft, Uber, Airbnb, PayPal, Reddit, etc.

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Cost: Open-sourced tool

2| Trac

Trac is an open source project written in Python and is more than just an error tracking tool. It is an enhanced Wiki and issues tracking system for software development projects. This tool uses a minimalistic approach to web-based software project management and has a timeline that shows all current and past project events in order, making the acquisition of an overview of the project. It also allows wiki markup in issue descriptions and messages, creating links as well as seamless references between bugs, changesets, files, wiki pages, etc. The tool also supports multiple platforms such as Unix, Linux, Windows, etc.

Cost: Open-sourced tool

3| Rollbar

This error tracking tool helps by providing notifications of Python errors instantly as they occur after deployment and before users notice. Similar errors are automatically grouped using Rollbar’s fingerprinting technology to reduce noise, and all errors include detailed data to help you assess the impact and assign priority. The tool also automatically collects all the data you need to replicate and debug an error, presented in ways optimized for debugging speed. Here, you can see the real-time feed and get instant alerts to be aware of errors as they appear. The tool also allows you to get stack trace and all the data you need to debug, including request parameters, local variable values, browsers, IPs, etc. It has been trusted by prominent companies such as Uber, Salesforce, Heroku, etc. and it supports popular languages such as Django, Ruby, JavaScript, Android, Clojure, Go, Flash, etc.

Cost: There are two categories.

  • Essentials from $41 per month
  • Advanced  from $83 per month

4| Airbrake

This error bugging tool alerts you in real-time to Python errors in the communication tool of your choices such as it’s email, GitHub, Slack or any other mode. With Airbrake Python error monitoring and reporting, exceptions are captured so that you are notified before users are affected. Python error reporting is easy and simple in Airbrake and it installs in less than three minutes as well as accessible via a mobile optimised web application. This tool supports languages such as PHP, Ruby, .NET, JavaScript, Ios, Android, and many more.

Cost: There are three categories.

  • Essential from $59 per month
  • Startup from $129 per month
  • Business from $599 per month

5| Raygun

Raygun is a bug/error management system that keeps track of exceptions which are coming from your applications, basically on the mobile side. Here, every occurrence of an error is presented within one group with access to single instances of it, including its stack trace. It supports various languages like Python, iOS, Android, PHP, .NET, Java, etc. and has been used by some of the most innovative companies such as Coca Cola, Microsoft, Azure, Dominos, 3M, etc.

Cost: There are 4 categories in this tool that one can buy.

  • Side Project from $19 per month
  • Startup from $79 per  month
  • Small Business from $199 per month
  • Business from $649 per month

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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

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