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pyJedAI vs Tilores

pyJedAI

pyjedai.readthedocs.io

Tilores

tilores.io

Side by side

FigurepyJedAITilores
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
WindowsYesYes
macOS—Yes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published14
Spec score · Data Deduplication Software7.5 (#22)8.3 (#5)
Intended usersThe project describes pyJedAI as intended for both expert and novice users and identifies developers, IT, and science/research audiences in its PyPI classifiers.The company describes Tilores as infrastructure for developers and presents use cases including fraud, compliance, Customer 360, and AI.
PurposepyJedAI is an open-source Python framework for entity resolution and link discovery.Tilores resolves duplicate and conflicting records across systems into unified entity profiles in real time.
SupportThe project recommends GitHub Discussions for general questions and discussions and links to its issue tracker for bugs.Production quotes can scope support from standard technical support to a dedicated customer success engineer.

Plans

pyJedAI

  • pyJedAIFree

pyJedAI pricing →

Tilores

  • Tilores StudioFree
  • Tilores Studio Local ModeFree
  • Production TiloresPriced on request
  • Tilores ProductionPriced on request

Tilores pricing →

In their own words

pyJedAI

pyJedAI has no write-up on Specifiction yet; its figures are above.

Visit pyjedai.readthedocs.io

Tilores

Tilores resolves duplicate and conflicting records into unified entity profiles in real time. It maps, normalizes, and enriches fields such as names, phone numbers, and addresses before applying deterministic rules and fuzzy matching. Results can include explainable links, a quality score, and an audit trail. A real-time GraphQL API supports entity retrieval, ranked fuzzy searches, and aggregation of source records. Listed connectors include Salesforce, HubSpot, and Snowflake, alongside webhooks and event streaming. Deployment options include managed AWS, a customer's AWS account or another cloud, and on-premise installations. Developers can connect entity resolution to LangChain and Amazon Bedrock through IdentityRAG; the company says it works with any LLM through LangChain. Tilores Studio runs locally on macOS Apple Silicon, Windows x64, or Linux x86_64, storing data on the user's computer. Its free local mode allows up to 100,000 records per deployment. Production pricing is by custom quote, based on data volume, deployment, service requirements, and support.

Visit tilores.io