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Awesome F-Droid Apps is a table of Android apps from the largest F-Droid repositories, which users can filter and sort by popularity, recency and category. Popularity is based on star counts from GitHub, GitLab and Codeberg. Currently included repositories are F-Droid, F-Droid Archive and IzzyOnDroid. The project notes that F-Droid lacks reviews or download counts, making discovery difficult.
CML, or Continuous Machine Learning, is an open-source CLI tool for implementing CI/CD with a focus on MLOps. It is used to automate development workflows, including machine provisioning, model training and evaluation, comparing ML experiments across project history, and monitoring changing datasets. It can generate a visual report with results and metrics automatically on every pull request, using GitLab, GitHub, or Bitbucket.
Cynative is an open-source project offering security agents for cloud, code, and runtime environments. It includes 45 built-in agents that audit AWS, GCP, Azure, Kubernetes, GitHub, and GitLab for issues including privilege escalation, public exposure, and supply chain vulnerabilities, and supports creating custom agents in a single markdown file with live read-only infrastructure access.
Gito is an open-source AI code reviewer that works with any language model provider. It detects issues in GitHub pull requests or local codebase changes, posts results as PR comments, and reacts to maintainer comments. GitLab support is in beta; Bitbucket support is planned.
Glow is a terminal-based markdown reader that renders markdown on the command line. It includes a textual user interface that finds local markdown files in the current directory and below or in a Git repository, plus a CLI that reads from files, standard input, GitHub, GitLab or HTTP sources. It is distributed under the MIT license.
MLReef is an open source ML-Ops platform for collaborating, reproducing and sharing machine learning work. The repository notes it is no longer supported or updated there, with work continuing on GitLab. Described sections include data management with versioned data hosting, containerized code repositories, experiment tracking and ML pipelines on Kubernetes, cloud or bare metal.
