--- title: "weaviate vs zepiris" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/weaviate-weaviate-vs-zepto-labs-zepiris" tools: ["weaviate-weaviate", "zepto-labs-zepiris"] --- # weaviate vs zepiris *GraphCanon updated Jul 11, 2026* ## Verdict Pick weaviate when weaviate is primarily Go; zepiris is Python; pick zepiris when zepiris is primarily Python; weaviate is Go. [weaviate](https://weaviate.io/developers/weaviate/) reports 17k GitHub stars, 1.3k forks, and 596 open issues, last pushed Jul 11, 2026. [zepiris](https://blog.zeptonow.com/zepiris-reimagining-scalable-face-authentication-for-attendance-at-zepto-040da77d8231) has 346 stars, 88 forks, and 4 open issues, last pushed May 29, 2026. Figures are from public GitHub metadata via [weaviate's repository](https://github.com/weaviate/weaviate) and [zepiris's repository](https://github.com/zepto-labs/zepiris). | | [weaviate](/tools/weaviate-weaviate.md) | [zepiris](/tools/zepto-labs-zepiris.md) | | --- | --- | --- | | Tagline | Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c | No OTPs. No registers. No buddy punching. Just a selfie. ZepIris is Zepto's purpose-built face authentication platform - engineered for scale, tuned for budget phones. | | Stars | 16,572 | 346 | | Forks | 1,343 | 88 | | Open issues | 596 | 4 | | Language | Go | Python | | Adopt for | Weaviate is an open-source vector database that supports both object and vector storage with robust deployment options, making it suitable for applications requiring seamless integration of approximate nearest neighbor ( | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | Other | | Categories | Computer Vision, Inference & Serving, Vector Databases | Computer Vision, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [weaviate](/tools/weaviate-weaviate.md) | [zepiris](/tools/zepto-labs-zepiris.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 42d | | Open issues (now) | 596 | 4 | | Security scan | 12 low (12 low) | No lockfile | | Full report | [trust report](/tools/weaviate-weaviate/trust.md) | [trust report](/tools/zepto-labs-zepiris/trust.md) | ## Decision facts: weaviate - **Requirements:** Requires Docker; Support for Kubernetes, AWS Marketplace, GCP Marketplace; Availability of Python client - **Adopt for:** Weaviate is an open-source vector database that supports both object and vector storage with robust deployment options, making it suitable for applications requiring seamless integration of approximate nearest neighbor ( ## Choose when ### Choose weaviate if… - weaviate is primarily Go; zepiris is Python. - License: weaviate is BSD-3-Clause, zepiris is Other. - Requirements: Requires Docker; Support for Kubernetes, AWS Marketplace, GCP Marketplace; Availability of Python client. - Tags unique to weaviate: approximate-nearest-neighbor-search, generative-search, grpc, hnsw. - Also covers Inference & Serving. - weaviate ships Docker support for self-hosted deployment. - * When you need to integrate vector search capabilities with structured data filtering within a single system. ### Choose zepiris if… - zepiris is primarily Python; weaviate is Go. - License: zepiris is Other, weaviate is BSD-3-Clause. - Tags unique to zepiris: computer-vision, data-science, open-source, python. ## When NOT to use weaviate - * Avoid using when low-level customization of the underlying vector indexing mechanisms is required beyond what current configuration options offer. - * Not recommended if your application does not benefit from cloud-native fault tolerance and scalability features. - * If real-time data import with automatic vector generation through lightweight models is non-essential for your workflow. ## When NOT to use zepiris - 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 weaviate and zepiris? weaviate: Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c. zepiris: No OTPs. No registers. No buddy punching. Just a selfie. ZepIris is Zepto's purpose-built face authentication platform - engineered for scale, tuned for budget phones.. See the comparison table for live GitHub stats and shared categories. ### When should I choose weaviate over zepiris? Choose weaviate over zepiris when weaviate is primarily Go; zepiris is Python; License: weaviate is BSD-3-Clause, zepiris is Other; Requirements: Requires Docker; Support for Kubernetes, AWS Marketplace, GCP Marketplace; Availability of Python client; Tags unique to weaviate: approximate-nearest-neighbor-search, generative-search, grpc, hnsw; Also covers Inference & Serving; weaviate ships Docker support for self-hosted deployment; * When you need to integrate vector search capabilities with structured data filtering within a single system. ### When should I choose zepiris over weaviate? Choose zepiris over weaviate when zepiris is primarily Python; weaviate is Go; License: zepiris is Other, weaviate is BSD-3-Clause; Tags unique to zepiris: computer-vision, data-science, open-source, python. ### When should I avoid weaviate? * Avoid using when low-level customization of the underlying vector indexing mechanisms is required beyond what current configuration options offer. * Not recommended if your application does not benefit from cloud-native fault tolerance and scalability features. * If real-time data import with automatic vector generation through lightweight models is non-essential for your workflow. ### When should I avoid zepiris? Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is weaviate or zepiris more popular on GitHub? weaviate has more GitHub stars (16,572 vs 346). Stars measure visibility, not whether either tool fits your constraints. ### Are weaviate and zepiris open source? Yes - both are open-source projects on GitHub (weaviate: BSD-3-Clause, zepiris: Other). ### Where can I find alternatives to weaviate or zepiris? GraphCanon lists graph-backed alternatives at [weaviate alternatives](/tools/weaviate-weaviate/alternatives) and [zepiris alternatives](/tools/zepto-labs-zepiris/alternatives) ([weaviate markdown twin](/tools/weaviate-weaviate/alternatives.md), [zepiris markdown twin](/tools/zepto-labs-zepiris/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/weaviate-weaviate-vs-zepto-labs-zepiris.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, weaviate or zepiris? weaviate: Very active. zepiris: Steady. 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 weaviate and zepiris? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [weaviate trust report](/tools/weaviate-weaviate/trust); [zepiris trust report](/tools/zepto-labs-zepiris/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=weaviate-weaviate`](/api/graphcanon/graph?tool=weaviate-weaviate) - 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/_