CodeClimate
Codacy
SonarQube
ESLint
CodeFactor.io
Coveralls
SensioLabs Insight
Source-Navigator NG
LakeFS
DVC
Monte Carlo Data
Git Large File Storage
ArtiVC
Tonic AI
AWS Lake Formation
Dagster
CodeClimateNo features have been listed yet.
Based on our record, CodeClimate should be more popular than LakeFS. It has been mentiond 19 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.
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / 3 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / 3 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 11 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / over 1 year ago
I would add https://github.com/gaul/s3proxy to your list. - Source: Hacker News / over 2 years ago
* data state - this is contents of both your data and metadata at a given point in time. if your data doesn't fit into a single database, this can be difficult to manage. We use this technology to help us: https://lakefs.io/. - Source: Hacker News / almost 3 years ago
Saltcured, find these comments super insightful! > Yeah, there's a lot of hidden magic/assumptions in having a "writable snapshot of a specific version" of production data. That's absolutely a huge assumption. This technology has been a game changer for us: https://lakefs.io/ > It becomes a headache when there is too much contention to use these sandboxes, or too much manual effort to reset them to a desired... - Source: Hacker News / almost 3 years ago
You should not store your data in git itself, but rather use git to version your data sets. The currently best option for that is (IMHO) https://lakefs.io though there are a few others in various states of usability/maturity. Source: over 3 years ago
I mean if you're ready to adopt a new framework into your ecosystem this is one of the major usecases for LakeFS. Source: over 3 years ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
DVC - Diablo Valley College consists of two campuses serving more than 22,000 students in Contra Costa County each semester with a wide variety of program options.
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.
Monte Carlo Data - Monte Carloโs Data Observability platform increases trust in data by eliminating data downtime, so engineers innovate more and fix less.
ESLint - The fully pluggable JavaScript code quality tool
Git Large File Storage - Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers.