MindsDB
dark
MindsDB | dark | |
---|---|---|
78 | 43 | |
21,312 | 1,607 | |
1.5% | 1.1% | |
10.0 | 9.9 | |
6 days ago | 2 days ago | |
Python | F# | |
GNU General Public License v3.0 or later | 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.
MindsDB
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Whatβs the Difference Between Fine-tuning, Retraining, and RAG?
Check us out on GitHub.
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How to Forecast Air Temperatures with AI + IoT Sensor Data
If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.
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Fine-tuning a Mistral Language Model with Anyscale
MindsDB is an open-source AI platform for developers that connects AI/ML models with real-time data. It provides tools and automation to easily build and maintain personalized AI solutions.
- Vanna.ai: Chat with your SQL database
- FLaNK Weekly 08 Jan 2024
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MindsDB Docker Extension: Build ML powered apps at a much faster pace
MindsDB combines both AI and SQL functions in one; users can create, train, optimize, and deploy ML models without the need for external tools. Data analysts can create and visualize forecasts without having to navigate the complexities of ML pipelines.MindsDB is open-source and works with well-known databases like MySQL, Postgres, Redit, Snowflakes, etc.
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How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
Mindsdb is a good example. It abstracts everything related to an AI workflow as "virtual tables". For example, you can import OpenAI API as a "virtual table":
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ππ 23 issues to grow yourself as an exceptional open-source Python expert π§βπ» π₯
Repo : https://github.com/mindsdb/mindsdb
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AI-Powered Selection of Asset Management Companies using MindsDB and LlamaIndex
MindsDB is an AI Automation platform for building AI/ML powered features and applications. It works by connecting any data source with any AI/ML model or framework and automating how real-time data flows between them. MindsDB is integrated with LlamaIndex, which makes use of its data framework for connecting custom data sources to large language models. LlamaIndex data ingestion allows you to connect to data sources like PDFβs, webpages, etc., provides data indexing and a query interface that takes input prompts from your data and provides knowledge-augmented responses, thus making it easy to Q&A over documents and webpages.
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Using Large Language Models inside your database with MindsDB
Now, imagine if you can deploy these highly trained models in your database to get insights, make predictions, understand your users, auto-generate content, and more. MindsDB makes this possible! MindsDB is an open-source AI database middleware that allows you to supercharge your databases by integrating various machine learning (ML) engines.
dark
- Darklang
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WASM_of_OCaml
Yes. Darklang was originally in OCaml using js_of_ocaml, and we ported it to F# using Blazor (https://github.com/darklang/dark/tree/main/backend/src/Wasm). It works.
We found that in dotnet 6, the code was much slower, with long startup times and a much bigger download, than in js_of_ocaml. It also had a lot of issues in running in a Webworker, which wasn't the case for js_of_ocaml.
In dotnet 7, the webworker issues are better and AOT is easier, so startup is faster. Download sizes are still bad, and it's still slower than js_of_ocaml.
However, dotnet allows almost any code to run in WASM, which js_of_ocaml had large limitations. This meant a decent chunk of functionality had to be worked around to make separate js vs native targets, which also was a massive pain and took a long time. Dune's virtual targets wasn't ready at the time - I think we were one of the test cases for it.
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It's so unfortunate they decided to go with the Clojure/Haskell type syntax, as opposed to something friendlier like Elixir. A lot of people will not even try this language as a result. [Unison]
Why should I use this instead of https://darklang.com/
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Cloud, Why So Difficult?
First it was probably Dark. They made a lot of noise some years ago, but then I never heard of them again (looking at their current website, looks like they moved on to AI now, obviously).
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New open-source programming language for DevOps engineers by the creator of the CDK
Reminds me of Darklang. Personally, I don't think vendoring cloud services into a language is going to be beneficial. I'm curious how the language deals with vendor updates. Do I have to upgrade the language then? If so, I see a lot conflicts coming from this. Then it comes down to Javascript or HCL, the HCL bit makes me think that the below statement is not as truthy as it is on the surface:
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Darklang Release 9
We still don't have all that many users (~100 active), so I'm not sure you'll find an answer here. But we collect that sort of feedback publicly, which might answer your question: https://github.com/darklang/dark/discussions/categories/feed...
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Making Something Waspy: A Review Of Wasp
I wish I could remember what took me to YCombinator's website on the 10th of October, 2022. That was when I first heard about Wasp and another language called DarkLang. After I learned about Wasp, I was intrigued and curious to know how it works, which led me to join the discord server the next day.
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Using Rust at a Startup: A Cautionary Tale
Some languages that try to integrate an HTTP server and a database:
Ur/Web: http://impredicative.com/ur/
Dark (Darklang): https://darklang.com/
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The Current State of Infrastructure From Code
There are others in this space I did not assess like Encore, Shuttle, Modal, and Dark. These were not assessed for the sake of time. If you're interested in IfC, I encourage you to take a look at these others.
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Finally, we have support for negative numbers!
Oh, finally! I was waiting to build my serverless CRUD webapp in Dark (OCaml + JavaScript and Fsharp?) until they had support for returning negative numbers on a GET request!
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
nvim-ts-rainbow - Rainbow parentheses for neovim using tree-sitter. Use https://sr.ht/~p00f/nvim-ts-rainbow instead
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Bracket-Pair-Colorizer-2 - Bracket Colorizer Extension for VSCode
postgresml - The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
unison - A friendly programming language from the future
CapRover - Scalable PaaS (automated Docker+nginx) - aka Heroku on Steroids
nanos - A kernel designed to run one and only one application in a virtualized environment
scikit-learn - scikit-learn: machine learning in Python
liquibase - Main Liquibase Source
lightwood - Lightwood is Legos for Machine Learning.
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform