Taipy
Mage
Taipy | Mage | |
---|---|---|
16 | 77 | |
8,812 | 7,131 | |
12.6% | 4.6% | |
9.9 | 9.9 | |
1 day ago | about 21 hours ago | |
Python | Python | |
Apache License 2.0 | 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.
Taipy
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Python Day 9: Building Interactive Web Apps without HTML/CSS and JavaScript
Taipy is an open-source Python library that enables data scientists and developers to build robust end-to-end data pipelines.
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+10 Resources to Empower Women in Technology
I’ve been working in tech for more than five years. I started as a Data Scientist, and now I’m exploring and loving the DevRel 🥑 role for Taipy. Needless to say, evolving in the tech scene has been a ride full of ups, downs, and everything in between.
- Show HN: Building data and AI apps, an alternative to Streamlit
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Our open-source project for building AI / Data full-stack apps got funded! 🎉 🎉
In 2022, we first launched Taipy as an open-source project (do check out our GitHub Page), followed by the Enterprise version later that year.
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Plotting 1,000,000 points on a webpage using only Python
Hey guys! I work at Taipy; we are a Python library designed to create web applications using only Python. Some users had problems displaying charts based on big data, e.g., line charts with 100,000 points. We worked on a feature to reduce the number of displayed points while retaining the shape of the curve as much as possible and wanted to share how we did it. Feel free to take a look here:
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Show HN: Taipy – Turns Data and AI algorithms into full web applications
What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?
- Taipy for Data and AI algos web apps building
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TaiPy - Some quirks
I am not going to have a tutorial on how to use it, their website has a decent documentation on how to get started. I will be documenting the difficulties and little quirks that I had to figure out about TaiPy when applying it to a bigger project.
- Taipy, your web application builder. Pure Python
- A quick tutorial on how to easily create Web Apps using only Python
Mage
- FLaNK AI-April 22, 2024
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A mage on the Hero’s Journey: a fantasy epic on how a startup rose from the ashes
In the coming years, Mage will create a cooperative experience so that developers can build data pipelines with their team and level up together. After that journey, Mage will go on an epic quest to create the 1st open world community experience in the data universe.
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Data sources episode 2: AWS S3 to Postgres Data Sync using Singer
Link to original blog: https://www.mage.ai/blog/data-sources-ep-2-aws-s3-to-postgres-data-sync-using-singer
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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Mage Battlegrounds: Craft insights from real-time customer behavior analysis
You're invited to participate in the very first Mage Battlegrounds: Craft insights from real-time customer behavior analysis, a 24-hour virtual hackathon hosted by Shashank Mishra! This data engineering competition will take place on Saturday, April 15, 2023 beginning at 11am (PST). This will be a global event open to all participants who register.
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Looking for an open-source project
Try this feature: https://github.com/mage-ai/mage-ai/issues/1166
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Daskqueue: Dask-based distributed task queue
Seeing if we can use it in https://github.com/mage-ai/mage-ai
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Data Pipeline on a Shoestring
That being said there’s a solid family of services just breaking ground that make the local pipeline deployment easier (check out https://www.mage.ai, which does have a clear path to cloud deployment of locally developed pipes, it just isn’t well documented yet, and also https://www.neuronsphere.io - which doesn’t have a public solution YET (they’re internally testing an alpha) but they built a cloud deployable solution for their paying customers and working to release one for freemium use)
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Trending ML repos of the week 📈
7️⃣ mage-ai/mage-ai
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Delta without using Spark
Yes, check out how Mage does it: https://github.com/mage-ai/mage-ai/tree/master/mage_integrations/mage_integrations/destinations/delta_lake_s3
What are some alternatives?
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
dagster - An orchestration platform for the development, production, and observation of data assets.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
prefect-deployment-patterns - Code examples showing flow deployment to various types of infrastructure
vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
Taipy-GPT4-Demo - GPT-4 Chat Web App created in 80 lines of Python using Taipy
mito - The mitosheet package, trymito.io, and other public Mito code.
streamlit - Streamlit — A faster way to build and share data apps.
Data-Science-Roadmap - Data Science Roadmap from A to Z