prefect-deployment-patterns
Taipy
| prefect-deployment-patterns | Taipy | |
|---|---|---|
| 1 | 16 | |
| 93 | 8,613 | |
| - | 10.6% | |
| 0.0 | 9.9 | |
| over 1 year ago | 6 days 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.
prefect-deployment-patterns
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[D] Should I go with Prefect, Argo or Flyte for Model Training and ML workflow orchestration?
Have you used infrastructure blocks in Prefect? You could easily build a block for Sagemaker deploying infrastructure for the flow running with GPUs, then run other flow in a local process, yet another one as Kubernetes job, Docker container, ECS task, AWS batch, etc. Super easy to set up, even from the UI or from CI/CD. There are a bunch of templates and examples here: https://github.com/anna-geller/prefect-deployment-patterns
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
What are some alternatives?
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
buildflow - BuildFlow, is an open source framework for building large scale systems using Python. All you need to do is describe where your input is coming from and where your output should be written, and BuildFlow handles the rest. No configuration outside of the code is required.
dagster - An orchestration platform for the development, production, and observation of data assets.
weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
canarypy - CanaryPy - A light and powerful canary release for Data Pipelines
Taipy-GPT4-Demo - GPT-4 Chat Web App created in 80 lines of Python using Taipy
f1-data-pipeline - F1 Data Pipeline
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
dataall - A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
streamlit - Streamlit — A faster way to build and share data apps.