Home/Compare/deeplake vs supabase

Comparison

deeplake vs supabase

Verdict

Pick deeplake if deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities; pick supabase if primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization.

Markdown twin · deeplake alternatives · supabase alternatives

GraphCanon updated 1d

deeplake logo

deeplake

activeloopai/deeplake

9.2kpushed May 21, 2026
vs
supabase logo

supabase

supabase/supabase

108kpushed Aug 21, 2026

Trust & integrity

Signaldeeplakesupabase
Maintenance
Steady (87d since push)
As of 6d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 6d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

deeplake
AI Data Runtime for Agents with scalable retrieval and training features
supabase
The Postgres development platform.

Stars

deeplake
9.2k
supabase
108k

Forks

deeplake
721
supabase
14k

Open issues

deeplake
63
supabase
1.0k

Language

deeplake
C++
supabase
TypeScript

Adopt for

deeplake
Deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities.
supabase
Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization.

Persona

deeplake
-
supabase
-

Runtime

deeplake
-
supabase
-

License

deeplake
Deeplake uses the Apache-2.0 license, allowing free use in both open source and commercial projects with attribution.
supabase
Apache-2.0

Last pushed

deeplake
May 21, 2026
supabase
Aug 21, 2026

Categories

deeplake
Data & Retrieval, Model Training, Vector Databases
supabase
Data & Retrieval

Trust and health

Maintenance

deeplake
Steady (60%)
supabase
Very active (96%)

Days since push

deeplake
87d
supabase
0d

Open issues (now)

deeplake
63
supabase
1.0k

Stars delta

deeplake
+16 (30d)
supabase
+1.5k (30d)

Open issues delta

deeplake
-6 (30d)
supabase
-87 (30d)

Full report

deeplake
Trust report
supabase
Trust report

Choose deeplake if…

  • deeplake is primarily C++; supabase is TypeScript.
  • Pricing: Pricing details are not specified for Deeplake's public repository..
  • Requirements: Deeplake can be installed using pip, making it accessible via the command `pip install deeplake`..
  • Tags unique to deeplake: agent, agentic-rag, computer-vision, large language models.
  • Also covers Model Training, Vector Databases.
  • When you are developing applications that require seamless integration with AI agents, as Deeplake supports agent-centric design.

When NOT to use deeplake

  • If your project does not benefit from an agent-centric architecture and you primarily require traditional database operations without multimodal features.
  • When cost control is critical and serverless PostgreSQL might introduce variable costs compared to on-premises solutions for data retrieval and training.

Choose supabase if…

  • supabase is primarily TypeScript; deeplake is C++.
  • Pricing: Offers free plans with paid tiers for additional capacity and enterprise features..
  • Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel.
  • Tags unique to supabase: alternative, auth, database, embeddings.
  • - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience

When NOT to use supabase

  • - In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features
  • - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: deeplake 9.2k · supabase 108k (synced Aug 17, 2026).

Common questions

What is the difference between deeplake and supabase?
deeplake: AI Data Runtime for Agents with scalable retrieval and training features. supabase: The Postgres development platform.. See the comparison table for live GitHub stats and shared categories.
When should I choose deeplake over supabase?
Choose deeplake over supabase when deeplake is primarily C++; supabase is TypeScript; Pricing: Pricing details are not specified for Deeplake's public repository.; Requirements: Deeplake can be installed using pip, making it accessible via the command pip install deeplake.; Tags unique to deeplake: agent, agentic-rag, computer-vision, large language models; Also covers Model Training, Vector Databases; When you are developing applications that require seamless integration with AI agents, as Deeplake supports agent-centric design.
When should I choose supabase over deeplake?
Choose supabase over deeplake when supabase is primarily TypeScript; deeplake is C++; Pricing: Offers free plans with paid tiers for additional capacity and enterprise features.; Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel; Tags unique to supabase: alternative, auth, database, embeddings; - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience.
When should I avoid deeplake?
If your project does not benefit from an agent-centric architecture and you primarily require traditional database operations without multimodal features. When cost control is critical and serverless PostgreSQL might introduce variable costs compared to on-premises solutions for data retrieval and training.
When should I avoid supabase?
- In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely
Is deeplake or supabase more popular on GitHub?
supabase has more GitHub stars (108,244 vs 9,224). Stars measure visibility, not whether either tool fits your constraints.
Are deeplake and supabase open source?
Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, supabase: Apache-2.0).
Where can I find alternatives to deeplake or supabase?
GraphCanon lists graph-backed alternatives at deeplake alternatives and supabase alternatives (deeplake markdown twin, supabase markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, deeplake or supabase?
deeplake: Steady. supabase: Very active. 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 deeplake and supabase?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deeplake trust report; supabase trust report.

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