contextualise
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| contextualise | PheKnowLator | |
|---|---|---|
| 10 | 1 | |
| 1,035 | 138 | |
| - | - | |
| 5.9 | 5.8 | |
| about 1 month ago | 19 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
contextualise
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Ask HN: What software are you dogfooding?
Contextualise, a tool to manage projects and/or activities with lots of unstructured data: a personal knowledge management tool of sorts. The link is here: (https://contextualise.dev/).
It's a MIT-licensed open source project: https://github.com/brettkromkamp/contextualise
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Ask HN: What's your most starred repo?
That would be Contextualise (https://github.com/brettkromkamp/contextualise) with 980 stars. The project is 3-4 years old. So, it's slow-going. Nevertheless, there are many (underappreciated) projects that should have a lot more stars than they do, so I am not complaining :)
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Has anyone ever monetized Python outside of a typical job?
Somewhat indirectly, yes. I am the developer behind Contextualise a topic maps-based knowledge management application written in Python. The application and its GitHub repository generate a lot of interest (in the semantic knowledge management space) and have provided me with many freelance projects over the years.
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If you were asked to showcase your best projects, which ones will you choose?
That would have to be Contextualise (https://contextualise.dev/) and its accompanying open source project (https://github.com/brettkromkamp/contextualise).
I've been working on knowledge graph-related problems (and accompanying applications) for years and Contextualise is probably the most visible component of that work.
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The Winamp Skin Museum is powered by a sqlite3 database with 1.2gb of metadata
I have built a graph-based knowledge management system (https://github.com/brettkromkamp/contextualise) on top of SQLite. It runs great. Also, from a management point of view (e.g., deployments, backups) its ease of use is second to none. I migrated the application from PostgreSQL (which is also a great RDBMS) to SQLite and I haven’t looked back.
- Personal Knowledge Management (PKM) open source application: Contextualise
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Contextualise: Structured Thinking
Contextualise is a simple but effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources: https://github.com/brettkromkamp/contextualise. Contextualise's main dependency is TopicDB, an open source topic maps-based graph store implemented in Python. The Contextualise web application is implemented with the Flask framework.
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[Request] Do you have examples of production-grade open source flask solutions?
Forgot to provide the link to the actual GitHub repo: https://github.com/brettkromkamp/contextualise
- Structure Your Knowledge
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Flask Examples in Reality
I have a relatively popular Flask application in production: Contextualise (https://contextualise.dev). It’s an open source project, so you can take a look at the code base and hopefully learn something of use: https://github.com/brettkromkamp/contextualise
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topic-db - TopicDB is a topic maps-based semantic graph store (using SQLite for persistence)