Machine Learning · head to head
LangChain vs Weka

LangChain
Machine Learning
Build applications with LLMs through composability
- From
- Free
- Rated
- -
The short version
- Each has a real cost: LangChain the free Developer plan of LangSmith is limited to 1 seat; 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: LangChain covers Chains and agents, Weka covers Classification.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which LangChain and Weka actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Linux, Mac, Windows), 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 LangChain
- Chains and agents
- Retrieval-augmented generation
- Memory management
- Tool integration
- Prompt templates
- OpenAI
- Anthropic
- Hugging Face
Only in Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
- Python
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
LangChain
- Building LLM applications and agents in Python or JavaScriptnot Weka
- Tracing and debugging LLM chains and agent runsnot Weka
- Evaluating prompt and model changes against datasetsnot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot LangChain
- Running data mining experiments and preprocessing without writing codenot LangChain
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
LangChain
- The free Developer plan of LangSmith is limited to 1 seat
- Base traces are retained for 14 days only; 400 day retention costs extra
- Included traces are capped at 5,000 per month on Developer and 10,000 per month on Plus, with everything beyond billed pay as you go
- Self hosted and hybrid deployment of LangSmith is Enterprise only
- Custom SSO, RBAC and ABAC are Enterprise only
- A support SLA is Enterprise only
- Enterprise pricing is by quote with no published rate
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
LangChain
Free- Open SourceFree
- Full framework
- Community support
- LangSmith$39/month
- Debugging
- Monitoring
- Testing
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Which should you pick?
Choose LangChain if
- You need chains and agents.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want retrieval-augmented generation.
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 LangChain or Weka better?
- Neither clearly leads. LangChain 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, LangChain or Weka?
- LangChain starts at Free and Weka at Free.
- Does LangChain or Weka run on more platforms?
- Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
- Can I use LangChain for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is LangChain best used for?
- LangChain is most often used for building llm applications and agents in python or javascript, tracing and debugging llm chains and agent runs, evaluating prompt and model changes against datasets. Of those, building llm applications and agents in python or javascript and tracing and debugging llm chains and agent runs are not what Weka is typically brought in for.
- What can LangChain do that Weka cannot?
- LangChain covers Chains and agents, Retrieval-augmented generation, Memory management, Tool integration. Weka covers Classification, Regression, Clustering, Association rules. Both handle Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
LangChain: Does LangChain charge for its services?
LangChain's main website does not display pricing. However, LangSmith (a related platform) offers both free and paid plans. Visit the dedicated pricing page or contact LangChain for details.
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.
SourceLangChain: How can I learn about LangChain pricing?
Click on the Pricing link in navigation or use the Try LangSmith or Get a demo options to explore pricing for LangChain's commercial offerings.
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.
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
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- Weka vs Azure Machine Learning
- Weka vs Amazon Redshift ML
- Weka vs Orange
- Weka vs scikit-learn
- Weka vs Databricks
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- Weka vs ClearML
- Weka vs Minitab
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- Weka vs BigQuery ML
- Weka vs JMP

