Struggling to choose between Trilium Notes and Unigraph? Both products offer unique advantages, making it a tough decision.
Trilium Notes is a Office & Productivity solution with tags like knowledge-management, note-taking, personal-knowledge-base, hierarchical-notes, linking-notes, embedding-media, tagging, encryption.
It boasts features such as Hierarchical tree-structured notes, Rich text notes with markdown support, Note linking and embedding, Media attachments, Tagging and full-text search, Note encryption, Sync through Git and WebDAV and pros including Open source and self-hosted, Very flexible organization, Strong linking and embedding, Good for large personal knowledge bases.
On the other hand, Unigraph is a Ai Tools & Services product tagged with knowledge-graph, data-modeling, graph-database.
Its standout features include Graph database to store and query connected data, Visual editor to model entities and relationships, Support for importing data from CSV, JSON, etc, Collaborative knowledge graph building, Exploration of connections between data, Customizable visualization of knowledge graphs, REST API access, Open source with Apache 2.0 license, and it shines with pros like Intuitive visual interface, Powerful knowledge graph capabilities, Open source and customizable, Active development community, Scalable to large datasets, Free to use.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Trilium Notes is an open-source hierarchical note taking application focused on building large personal knowledge bases. It has a tree-structured notes system allowing easy organization of ideas and supports features like linking between notes, embedding media, tagging, encryption, etc.
Unigraph is an open-source knowledge graph platform that allows users to build knowledge graphs and explore connections between data. It features a graph database and visual editor to model, store, and visualize data relationships.