Machine Learning · head to head
Haystack vs Weka
Haystack
Machine Learning
Open-source AI orchestration framework for LLM applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Haystack requires Python programming knowledge for advanced customization; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- They diverge on capability: Haystack covers Modular pipeline composition, Weka covers Classification.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Haystack and Weka actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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 Haystack
- Modular pipeline composition
- Multi-provider LLM support
- Retrieval-augmented generation
- Agent framework
- Memory management
- Observability and debugging
- Kubernetes-ready deployment
Only in Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
- Python
What people use each for
The jobs each tool is most often brought in to do.
Haystack
- Building production LLM applications with full controlnot Weka
- Creating retrieval-augmented generation systemsnot Weka
- Developing autonomous AI agentsnot Weka
- Multi-provider LLM orchestrationnot Weka
- Enterprise AI infrastructurenot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot Haystack
- Running data mining experiments and preprocessing without writing codenot Haystack
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Haystack
- Requires Python programming knowledge for advanced customization
- Steeper learning curve compared to no-code platforms
- Community support only on free tier may limit enterprise adoption
- Ongoing maintenance dependency for open-source framework
Weka
- The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
- Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture
Pricing, plan by plan
Haystack
Free- Open SourceFree
- Full framework access
- Community Discord support
- GitHub community contributions
- Enterprise Support$undefined/custom
- Private secure engineering support
- Best practices templates and deployment guides
- Flexible services and integrations
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Which should you pick?
Choose Haystack if
- You need modular pipeline composition.
- You want to start without paying.
- You work on Python, Cloud-agnostic.
- You also want multi-provider llm support.
Choose Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Questions people ask
- Is Haystack or Weka better?
- Neither clearly leads. Haystack starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Haystack or Weka?
- Haystack starts at Free and Weka at Free.
- Does Haystack or Weka run on more platforms?
- Haystack runs on Python, Cloud-agnostic. Weka runs on Linux, Mac, Windows.
- Can I use Haystack for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Haystack best used for?
- Haystack is most often used for building production llm applications with full control, creating retrieval-augmented generation systems, developing autonomous ai agents, multi-provider llm orchestration. Of those, building production llm applications with full control and creating retrieval-augmented generation systems are not what Weka is typically brought in for.
- What can Haystack do that Weka cannot?
- Haystack covers Modular pipeline composition, Multi-provider LLM support, Retrieval-augmented generation, Agent framework. Weka covers Classification, Regression, Clustering, Association rules.
Answered from the vendors’ own pages
Haystack: Is Haystack completely free to use?
Yes, the open-source Haystack framework is completely free. deepset offers optional paid enterprise support packages for organizations needing secure engineering support and deployment guidance.
SourceWeka: What is the cost of Weka software?
Weka is provided at no cost as open-source software released under the GNU General Public License, making it freely available for download and use.
SourceHaystack: What LLM providers does Haystack support?
Haystack supports multiple LLM providers including OpenAI, Anthropic, Mistral, Cohere, and others, allowing teams to avoid vendor lock-in and switch providers as needed.
SourceWeka: Are there commercial licensing options available?
Yes, the project offers information about commercial licenses for organizations requiring non-GPL terms, which can be found in their commercial applications documentation.
SourceHaystack: Can I deploy Haystack in production environments?
Yes, Haystack is designed for production use with Kubernetes-ready pipelines, built-in reliability features, and observability tools for enterprise-scale deployments.
SourceWeka: What support resources are available to users?
Multiple support avenues exist including comprehensive documentation, frequently asked questions, dedicated help resources, and access to courses for learning the platform.
SourceWeka: Is source code access provided?
Yes, developers have full access to source code through the Git repository, along with development documentation and code credits for contributors.
SourceRelated pages
Other head to heads
- Haystack vs LangChain
- Haystack vs LlamaIndex
- Haystack vs Semantic Kernel
- Haystack vs Pinecone
- Haystack vs OpenRouter
- Haystack vs Google Vertex AI
- Haystack vs H2O.ai
- Haystack vs Hugging Face
- Haystack vs Langwatch
- Haystack vs Mistral AI
- Haystack vs Ollama
- Haystack vs Ray
- Haystack vs Minitab
- Haystack vs Orange
- Haystack vs Pachyderm
- Haystack vs AWS SageMaker
- Haystack vs Azure Machine Learning
- Haystack vs DataRobot
- Haystack vs scikit-learn
- Haystack vs Databricks
- Haystack vs MATLAB
- Haystack vs SAS
- Haystack vs Apache Spark MLlib
- Haystack vs ClearML
- Haystack vs BigQuery ML
- Haystack vs JMP
- Weka vs LangChain
- Weka vs LlamaIndex
- Weka vs Semantic Kernel
- Weka vs Pinecone
- Weka vs OpenRouter
- Weka vs Google Vertex AI
- Weka vs H2O.ai
- Weka vs Hugging Face
- Weka vs Langwatch
- Weka vs Mistral AI
- Weka vs Ollama
- Weka vs Ray
- Weka vs Minitab
- Weka vs Orange
- Weka vs Pachyderm
- Weka vs AWS SageMaker
- Weka vs Azure Machine Learning
- Weka vs DataRobot
- Weka vs scikit-learn
- Weka vs Databricks
- Weka vs MATLAB
- Weka vs SAS
- Weka vs Apache Spark MLlib
- Weka vs ClearML
- Weka vs BigQuery ML
- Weka vs JMP