Apache AGE
clair
| Apache AGE | clair | |
|---|---|---|
| 132 | 21 | |
| 2,695 | 10,041 | |
| 3.6% | 0.5% | |
| 8.9 | 9.2 | |
| 5 days ago | 6 days ago | |
| C | Go | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Apache AGE
- Apache AGE: PostgreSQL Extension Graph Data Processing and Analytics
- Apache AGE: PostgreSQL Extension Graph Data Processing and Analytics for RDBMS
- Apache AGE supporting latest PostgreSQL (ver 16)
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Enhancing Fraud Detection with Apache AGE: A Graph Database Approach
For more information and support, visit the Apache AGE website. or github.
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Unlocking the Power of Apache Age: Advanced Techniques for SQL/Cypher Hybrid Queries
These are just a few examples of how you can use Cypher queries in SQL/Cypher Hybrid Queries. By using these advanced techniques, you can perform more complex and powerful queries on your graph data. Apache AGE offer a versatile and powerful platform for working with graph and relational data concurrentlyz. To learn more you can visit age website or github page.
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Mastering Graph Queries with Cypher in Apache Age
Cypher queries in Apache Age empower users to interact with graph data efficiently and intuitively. Whether you're creating nodes, establishing relationships, or performing complex traversals, Cypher provides a robust and expressive language for working with graph databases.As you explore Apache Age and Cypher further, you'll discover additional features and nuances that make graph database management a seamless experience. Embrace the power of graph queries, and unlock the full potential of your interconnected data with Apache Age. Happy graph querying!
- We built An Open-Source platform to process relational and Graph Query simultaneously
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Machine learning and graph databases
Check Apache AGE graph database system here: Website: https://age.apache.org/ GitHub: https://github.com/apache/age
- Is Open Sourcing Technologies Good for Society
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Open Source doesn't win by being cheaper
We are also open Source community at Apache https://github.com/apache/age
clair
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I looked through attacks in my access logs. Here's what I found
Besides pointing pentester tools like metasploit at yourself, there are some nice scanners out there.
https://github.com/quay/clair
https://github.com/anchore/grype/
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General Docker Troubleshooting, Best Practices & Where to Go From Here
Clair. Vulnerability Static Analysis for Containers.
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Open source container scanning tool to find vulnerabilities and suggest best practice improvements?
https://github.com/quay/clair 9.4k stars, updated 17 hours ago
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Postgres: The Graph Database You Didn't Know You Had
It scaled well compared to a naive graph abstraction implemented outside the database, but when performance wasn't great, it REALLY wasn't great. We ended up throwing it out in later versions to try and get more consistent performance.
I've since worked on SpiceDB[1] which takes the traditional design approach for graph databases and simply treating Postgres as triple-store and that scales far better. IME, if you need a graph, you probably want to use a database optimized for graph access patterns. Most general-purpose graph databases are just bags of optimizations for common traversals.
[0]: https://github.com/quay/clair
[1]: https://github.com/authzed/spicedb
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Homelab vulnerability/virus scanner
Clair GitHub
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Implement DevSecOps to Secure your CI/CD pipeline
Open source: Trivy, Gryp and Clair are widely used open source tools for container scanning.
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Sublime Music - A FLOSS desktop client for Subsonic API servers (Airsonic, Navidrome, Gonic, etc)
Testing the image with github.com/fullhunt/log4j-scan and https://github.com/quay/clair shows no vulnerabilities
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Automatically tag your Docker images as vulnerable in ECR
Amazon Elastic Container Registry is a fully-managed Docker container registry. It makes it easy for developers to store and manage Docker images inside their AWS environment. ECR supports two types of image scanning. Enhanced image scanning requires an integration with Amazon Inspector. It will scan your repositories continuously. Basic image scanning will use the Common Vulnerabilities and Exposures (CVEs) database (open-source Clair) to find vulnerabilities in your images. You can trigger scans on image push or manually.
- Clair – Vulnerability Static Analysis for Containers
What are some alternatives?
surrealdb - A scalable, distributed, collaborative, document-graph database, for the realtime web
trivy - Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
node-bindgen - Easy way to write Node.js module using Rust
grype - A vulnerability scanner for container images and filesystems
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
syft - CLI tool and library for generating a Software Bill of Materials from container images and filesystems
age-viewer - Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
Harbor - An open source trusted cloud native registry project that stores, signs, and scans content.
napi-rs - A framework for building compiled Node.js add-ons in Rust via Node-API
dagda - a tool to perform static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in docker images/containers and to monitor the docker daemon and running docker containers for detecting anomalous activities
neon - Rust bindings for writing safe and fast native Node.js modules.
kubescape - Kubescape is an open-source Kubernetes security platform for your IDE, CI/CD pipelines, and clusters. It includes risk analysis, security, compliance, and misconfiguration scanning, saving Kubernetes users and administrators precious time, effort, and resources.