--- title: "awesome-mlops vs weaviate-examples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/visenger-awesome-mlops-vs-weaviate-weaviate-examples" tools: ["visenger-awesome-mlops", "weaviate-weaviate-examples"] --- # awesome-mlops vs weaviate-examples *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-mlops when tags unique to awesome-mlops: ai, data-science, devops, engineering; pick weaviate-examples when tags unique to weaviate-examples: deep-learning, examples, html, vector-database. [awesome-mlops](https://ml-ops.org) reports 14k GitHub stars, 2.1k forks, and 42 open issues, last pushed Nov 21, 2024. [weaviate-examples](https://github.com/weaviate/weaviate-examples) has 332 stars, 86 forks, and 12 open issues, last pushed Aug 7, 2025. Figures are from public GitHub metadata via [awesome-mlops's repository](https://github.com/visenger/awesome-mlops) and [weaviate-examples's repository](https://github.com/weaviate/weaviate-examples). | | [awesome-mlops](/tools/visenger-awesome-mlops.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) | | --- | --- | --- | | Tagline | A curated list of references for MLOps | Weaviate vector database – examples | | Stars | 13,952 | 332 | | Forks | 2,072 | 86 | | Open issues | 42 | 12 | | Language | - | HTML | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Inference & Serving, Model Training, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-mlops](/tools/visenger-awesome-mlops.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 597d | 337d | | Open issues (now) | 42 | 12 | | Owner type | User | Organization | | Full report | [trust report](/tools/visenger-awesome-mlops/trust.md) | [trust report](/tools/weaviate-weaviate-examples/trust.md) | ## Choose when ### Choose awesome-mlops if… - Tags unique to awesome-mlops: ai, data-science, devops, engineering. - Also covers Inference & Serving, Model Training. - More GitHub stars (14k vs 332) - visibility, not fit. ### Choose weaviate-examples if… - Tags unique to weaviate-examples: deep-learning, examples, html, vector-database. - More recently updated (last pushed Aug 7, 2025). ## When NOT to use awesome-mlops - Last GitHub push was 597 days ago (dormant maintenance, Nov 21, 2024). Validate activity before betting a new project on awesome-mlops. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use weaviate-examples - Last GitHub push was 338 days ago (slowing maintenance, Aug 7, 2025). Validate activity before betting a new project on weaviate-examples. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between awesome-mlops and weaviate-examples? awesome-mlops: A curated list of references for MLOps. weaviate-examples: Weaviate vector database – examples. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-mlops over weaviate-examples? Choose awesome-mlops over weaviate-examples when Tags unique to awesome-mlops: ai, data-science, devops, engineering; Also covers Inference & Serving, Model Training; More GitHub stars (14k vs 332) - visibility, not fit. ### When should I choose weaviate-examples over awesome-mlops? Choose weaviate-examples over awesome-mlops when Tags unique to weaviate-examples: deep-learning, examples, html, vector-database; More recently updated (last pushed Aug 7, 2025). ### When should I avoid awesome-mlops? Last GitHub push was 597 days ago (dormant maintenance, Nov 21, 2024). Validate activity before betting a new project on awesome-mlops. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid weaviate-examples? Last GitHub push was 338 days ago (slowing maintenance, Aug 7, 2025). Validate activity before betting a new project on weaviate-examples. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is awesome-mlops or weaviate-examples more popular on GitHub? awesome-mlops has more GitHub stars (13,952 vs 332). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-mlops and weaviate-examples open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-mlops or weaviate-examples? GraphCanon lists graph-backed alternatives at [awesome-mlops alternatives](/tools/visenger-awesome-mlops/alternatives) and [weaviate-examples alternatives](/tools/weaviate-weaviate-examples/alternatives) ([awesome-mlops markdown twin](/tools/visenger-awesome-mlops/alternatives.md), [weaviate-examples markdown twin](/tools/weaviate-weaviate-examples/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/visenger-awesome-mlops-vs-weaviate-weaviate-examples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-mlops or weaviate-examples? awesome-mlops: Dormant. weaviate-examples: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for awesome-mlops and weaviate-examples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-mlops trust report](/tools/visenger-awesome-mlops/trust); [weaviate-examples trust report](/tools/weaviate-weaviate-examples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=visenger-awesome-mlops`](/api/graphcanon/graph?tool=visenger-awesome-mlops) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_