Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
DeepSource
Codacy
CodeClimate
SonarQube
codebeat
CodeAnt AI
CodeMeter
DeepScan
DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, Java, and JavaScript. It helps developers, who care about writing good code, and engineering teams save time in code reviews and systematically improve code quality and security.
Matplotlib DeepSourceBased on our record, Matplotlib should be more popular than DeepSource. It has been mentiond 114 times since March 2021. 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months 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
Navigate to deepsource.com in your browser. - Source: dev.to / 4 months ago
On the OpenSSF CVE Benchmark[1], Semgrep CE hits 56.97% accuracy vs our 81.21%, and nearly 3x higher recall (75.61% vs 26.83%). On when to run it, fair point. Autofix Bot is currently meant for local use (TUI, Claude Code plugin, MCP). We're integrating this pipeline into DeepSource[2], which will have inline comments in pull requests, that fits the QA/pre-merge flow you're describing. That said, if you're using... - Source: Hacker News / 7 months ago
Recently, there was a Java meetup held at work (Deepsource) where I gave my first ever talk, "How GraalVM improves Ruby". - Source: dev.to / over 3 years ago
Iโm talking about publishing list of top customers for a product. Letโs take a look at https://deepsource.io/ is it really used by NASA, Visa and so on? Do they really get their permission to use their logo and saying โhey, Visa is using our toolโ or it sits in their privacy policy or terms of service. Source: over 3 years ago
Code quality checks like DeepSource, SonarCloud etc. - Source: dev.to / over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
NumPy - NumPy is the fundamental package for scientific computing with Python
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
