Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
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.
Pandas DeepSourcePandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas seems to be a lot more popular than DeepSource. While we know about 231 links to Pandas, we've tracked only 16 mentions of DeepSource. 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.
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / about 1 month ago
For early-career security practitioners (0-3 years). Start with Python literacy if you do not have it. The free Python Crash Course book and the pandas getting-started guide are enough to bootstrap. Then a hands-on applied course: GTK Cyber's Applied Data Science & AI for Cybersecurity and SANS SEC595 are both reasonable starting points. The goal at this stage is to be able to load a Zeek conn.log into a pandas... - Source: dev.to / about 1 month ago
Python and data engineering for security data. Pandas for ingesting Zeek, Sysmon, EDR, and SIEM exports. Timestamp normalization to UTC, join keys across heterogeneous sources, feature extraction from raw logs. Without this layer, the ML content downstream is theater. - Source: dev.to / about 2 months ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pandas url is the most widely used library for data manipulation. - Source: dev.to / about 2 months ago
Navigate to deepsource.com in your browser. - Source: dev.to / 3 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
NumPy - NumPy is the fundamental package for scientific computing with Python
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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.
OpenCV - OpenCV is the world's biggest computer vision library
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.