orange
crystal
orange | crystal | |
---|---|---|
27 | 28 | |
4,611 | 12,420 | |
0.9% | 0.3% | |
9.6 | 9.9 | |
9 days ago | 2 days ago | |
Python | TypeScript | |
GNU General Public License v3.0 or later |
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.
orange
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Hierarchical Clustering
I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
- Orange Data Mining
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The Graph of Wikipedia [video]
For all you folks who aren't ace programmer types, the Orange3[1] platform gives you a very miniaturized[2] ability to turn out these sorts of visualizations very rapidly. It's not the most stable thing in the world, but the node-based ML workflow designer is worth the price of admission all by itself.
[1] https://orangedatamining.com/
[2] The Wikipedia extension in Text limits each search result to 25 articles, so sucking all of Wikipedia is . . well, Orange text analytics crashes when I look at it sideways with a null character, so let's not think about what would happen.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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Taxonomy Management?
First is identifying the "similar" things in a corpus. Best way I know to do that, for non-programmer audiences, is the Orange Data Mining tool, which gives you a node-based text mining interface to perform statistical analysis on text. Hierarchical Clustering shows - very rapidly - how similar your "modules" are, which ones are most similar. There's many other techniques (semantic viewer, similarity hash, etc) as well - the right one will depend on how your content is laying about.
- Orange: Open-source machine learning and data visualization
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What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
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Why don't more people use Altair for python Visualizations instead of Plotly?
You should also check out Orange Data Mining, it allows to create a lot of charts, filter data from a chart to another, build ML models, predictions and a lot more. And you can do it with zero code.
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Advice on Transitioning to Data Science/ML/AI without Coding Experience
You can start with a free GUI based tool Orange. It is a component based data science workflow tool, which you can use to handle 60-75% of the traditional data science tasks from classification, regression, to basic neural networks.
- Has anybody used Orange?
crystal
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
I didn't see a v5 tag in order to know, and I have no idea what "utils/graphile" does for the project, but one will want to ensure they are aware of its licensing scheme https://github.com/graphile/crystal/blob/db8894c74eb0ec3fe96...
- v4.13.0
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PostgREST – Serve a RESTful API from Any Postgres Database
I was about to say “but this one is!” and realized I had confused PostgREST with PostGraphile. If you’re interested in GraphQL, you can check out PostGraphile here: https://github.com/graphile/postgraphile
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Best Orm that uses Graphql and Postgres
If you point is to abstract all the CRUD/GraphQL application, Go isn’t needed. You can go with PostgREST or Postgraphile.
- v4.12.12
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Ask HN: Locally generate GraphQL schema and resolvers from DB
What do you mean locally? Hasura is OSS, and you can run it locally (you have autogenerated SQL statements) Here you can just use Nhost and its CLI;
Alternatives are https://github.com/graphile/postgraphile or dgraph as you mentioned. Hasura is working on support for sqlite, so you may have some blockers there, you can also look into the Prisma engine which has GQL as an intermediate (for resolvers, for example)
- v4.12.11
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Supabase (YC S20) raises $80M Series B
I've personally found Postgraphile to be fantastic. Nicer to use than Hasura and fully OSS: https://github.com/graphile/postgraphile/
- v4.12.10
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GraphQL is now available on Supabase
Hi all, this sounds very cool. How does pg_graphql compare to Postgraphile? https://github.com/graphile/postgraphile (besides I guess running in the DB with PLpgSQL instead of as a NodeJS server)
Did you think about integrating Postgraphile with the Supabase ecosystem or have specific limitations with it?
Thanks!
What are some alternatives?
glue - Linked Data Visualizations Across Multiple Files
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pg_graphql - GraphQL support for PostgreSQL
RDKit - The official sources for the RDKit library
starter - Opinionated SaaS quick-start with pre-built user account and organization system for full-stack application development in React, Node.js, GraphQL and PostgreSQL. Powered by PostGraphile, TypeScript, Apollo Client, Graphile Worker, Graphile Migrate, GraphQL Code Generator, Ant Design and Next.js
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
supabase - The open source Firebase alternative.
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
supabase-graphql-example - A HackerNews-like clone built with Supabase and pg_graphql
NumPy - The fundamental package for scientific computing with Python.
tensei - 🚀 Content management and distribution with a touch of elegance.