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Software Development · head to head

DeepSource vs Weaviate

DeepSource logo

DeepSource

Software Development

Automated code review and AI-powered code fixes for engineering teams.

From
Free
Rated
-
Full reviewWebsite
Weaviate logo

Weaviate

Machine Learning

Open-source vector database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DeepSource open Source plan caps at 1,000 reviewed pull requests and 1,000 formatting runs per month.; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • They diverge on capability: DeepSource covers Automated pull request review, Weaviate covers Vector and keyword search.

Where they differ

Only the attributes on which DeepSource and Weaviate actually diverge.

Attributes where DeepSource and Weaviate differ
AttributeDeepSourceWeaviate
Platformsweb, apiLinux, Mac, Windows, Web
CategorySoftware DevelopmentMachine Learning
FoundedUnknown2019

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DeepSource

  • Automated pull request review
  • AI-powered autofix
  • Automated code formatting
  • Monorepo support
  • API and webhooks
  • Bring-your-own-key AI

Only in Weaviate

  • Vector and keyword search
  • Built-in vectorizers
  • GraphQL API
  • Multi-tenancy
  • Hybrid search
  • OpenAI
  • Hugging Face
  • Cohere

What people use each for

The jobs each tool is most often brought in to do.

DeepSource

  • Automating pull request code review for engineering teamsnot Weaviate
  • Auto-fixing detected code issues with AInot Weaviate
  • Enforcing code formatting standards automaticallynot Weaviate
  • Scanning large monorepos for quality issuesnot Weaviate
  • Running self-hosted AI review in regulated environmentsnot Weaviate

Weaviate

  • Running a vector database for semantic and hybrid searchnot DeepSource
  • Generating and storing embeddings alongside the objects they describenot DeepSource

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DeepSource

  • Open Source plan caps at 1,000 reviewed pull requests and 1,000 formatting runs per month.
  • AI Review beyond the included credit is billed per 10K lines of code, which can add unpredictable cost.
  • Self-hosted deployment and BYOK AI are Enterprise-only features.
  • Enterprise pricing is not published and requires contacting sales.

Weaviate

  • The free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
  • Premium is a prepaid contract starting at $400 a month rather than pay as you go
  • Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
  • The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond

Pricing, plan by plan

DeepSource

Free
  • Open SourceFree
    • Free for public repositories
    • 1,000 pull requests reviewed/month
    • 1,000 automated formatting runs/month
  • Team$24/month
    • Unlimited repositories and pull request reviews
    • $100 annual AI Review credit per user
    • Monorepo support
  • Enterprise$undefined/month
    • Self-hosted deployment
    • Bring-your-own-key AI Review
    • SSO

Weaviate

Free
  • Open SourceFree
    • Full features
    • Self-hosted
  • ServerlessFree
    • Managed service
    • Auto-scaling

Which should you pick?

Choose DeepSource if

  • You need automated pull request review.
  • You want to start without paying.
  • You work on web, api.
  • You also want ai-powered autofix.
DeepSource review

Choose Weaviate if

  • You need vector and keyword search.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want built-in vectorizers.
Weaviate review

Questions people ask

Is DeepSource or Weaviate better?
Neither clearly leads. DeepSource starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepSource or Weaviate?
DeepSource starts at Free and Weaviate at Free.
Does DeepSource or Weaviate run on more platforms?
DeepSource runs on web, api. Weaviate runs on Linux, Mac, Windows, Web.
Can I use DeepSource for free?
Both have a free tier, so you can try either at no cost before committing.
What is DeepSource best used for?
DeepSource is most often used for automating pull request code review for engineering teams, auto-fixing detected code issues with ai, enforcing code formatting standards automatically, scanning large monorepos for quality issues. Of those, automating pull request code review for engineering teams and auto-fixing detected code issues with ai are not what Weaviate is typically brought in for.
What can DeepSource do that Weaviate cannot?
DeepSource covers Automated pull request review, AI-powered autofix, Automated code formatting, Monorepo support. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.

Answered from the vendors’ own pages

DeepSource: What does DeepSource cost?

The Open Source plan is free for public repos; Team is $24 per user/month billed yearly with a $100 annual AI Review credit; Enterprise is custom-priced with self-hosted options.

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Weaviate: What pricing options does Weaviate offer?

Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.

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DeepSource: Is there a free plan, and what are its limits?

Yes, the free Open Source plan covers public repositories with 1,000 pull requests reviewed per month and 1,000 automated formatting runs per month.

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Weaviate: Does Weaviate offer customer support?

Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.

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DeepSource: How is AI Review usage metered?

Team plans include a $100 annual AI Review credit per user, with additional usage billed at Standard ($8/10K LOC) or Advanced ($15/10K LOC) tiers.

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Weaviate: Can I deploy Weaviate on my own infrastructure?

Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.

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DeepSource: Can I change or cancel my plan?

Yes, subscriptions can be downgraded or canceled at any time.

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Weaviate: What data security features does Weaviate provide?

Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.

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Weaviate: How do I get started with Weaviate?

Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.

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