studio
mercury-examples
| studio | mercury-examples | |
|---|---|---|
| 3 | 1 | |
| 4 | 12 | |
| - | - | |
| 3.2 | 7.9 | |
| over 2 years ago | 11 months ago | |
| Jupyter Notebook | ||
| - | MIT License |
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studio
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Show HN: Mljar Studio visual programming for Python Notebook
With my wife, we are working on visual interface for creating Python scripts in the notebook. We created desktop application MLJAR Studio. In our app, user has a list of predefined steps. Each step has a graphical interface with a form that after filling generate the Python code. The Python code is the source of the truth.
Currently we have a few steps for training Machine Learning model on tabular data. [Here you have few gifs with screenshots](https://mljar.com/docs/how-does-python-notebook-work/) how it looks like, and [example how to build ML model](https://mljar.com/docs/create-first-notebook/) on tabular data. The created notebook is compatible with Jupiter notebook.
In the near future, we are planning to add notebook scheduling and more steps (probably with some dynamic manager for steps loading). We see MLJAR Studio as an alternative to visual programming environments which are node based. Because the Python code is the source of truth, it offers a great flexibility to define new steps or to add custom Python code.
The app is desktop based (it is using electron framework). It automatically installs Python 3.9 with miniconda and required packages. The installation is local, without change to the environment path. You can see installation instructions [here](https://mljar.com/docs/install-notebook/). The application is only for Windows. If you are interested in MacOS or Linux versions, please fill the [form](https://docs.google.com/forms/d/e/1FAIpQLSeB5-hA326sBg9fg-pp...) and we will notify you when ready.
If you would like to try the app (currently Windows only), it can be downloaded from GitHub release page: https://github.com/mljar/studio/releases
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I'm working on visual programming for Python notebooks - alternative for node-based programming environments
If you would like to try the app (currently Windows only), it can be downloaded from GitHub release page: https://github.com/mljar/studio/releases
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[D] Bring your own data AI SaaS service for non-programmers?
Instead, we started to work on desktop application that will allow to create python notebooks with no-code GUI (https://github.com/mljar/studio some screenshots on our website ).
mercury-examples
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[OC] Data Analyst Skills in need based on 15,963 job listings
Code: https://github.com/mljar/mercury-examples/tree/main/use-cases/data-analyst-job
What are some alternatives?
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
fastbook - The fastai book, published as Jupyter Notebooks
leetcode-master - 《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
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
mercury - Convert Jupyter Notebooks to Web Apps
automl-app - AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!
cheatsheets - Official Matplotlib cheat sheets
data-science-portfolio - Data Science Portfolio website created with Jupyter notebooks and Mercury