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Rollbar might be a bit more popular than iPython. We know about 25 links to it since March 2021 and only 20 links to iPython. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Rollbar takes a different approach, focusing heavily on real-time error detection and intelligent grouping. Their free tier offers 5,000 occurrences per month, which is competitive with other major players, but what sets them apart is their exceptional alerting system and error grouping algorithms. - Source: dev.to / 4 months ago
Error monitoring is configured (Sentry, Rollbar, or similar). - Source: dev.to / 8 months ago
Shameless plug for https://rollbar.com Good luck out there! - Source: Hacker News / about 1 year ago
Rollbar is a helpful tool for tracking user errors and debugging. It helps developers monitor, detect, and fix errors across different platforms, including web, mobile, and backend systems. It offers detailed error reports, tracks problems as they happen, and works smoothly with popular tools like Jira, GitHub, and Slack to make workflows easier. Rollbar is built to save time on debugging by grouping similar... - Source: dev.to / over 1 year ago
Rollbar is a highly effective real-time error tracking and debugging tool, crafted specifically for software developers. It aims to streamline the process of identifying and resolving errors across various programming languages and platforms, enhancing application quality and developer efficiency. For teams exploring sentry alternatives, Rollbar offers a compelling solution with its robust feature set and seamless... - Source: dev.to / almost 2 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Spyder - The Scientific Python Development Environment