finagg
panel
finagg | panel | |
---|---|---|
17 | 39 | |
385 | 4,268 | |
- | 6.2% | |
8.1 | 9.9 | |
6 days ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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.
finagg
-
This Week In Python
finagg – A Python package for aggregating and normalizing historical data from popular and free financial APIs
- FLaNK Stack 29 Jan 2024
- Show HN: Finagg – free and nearly unlimited financial data
-
[D] Website to get historical price for agriculture commodities?
This is certainly a weird place to ask this question. That being said, you should explore the FRED API. Here's my project that implements most of it in Python: https://github.com/theOGognf/finagg The walkthrough shows you how to find what you're looking for
-
Fundamental Data Sources
I created a Python package exactly for this. https://github.com/theOGognf/finagg. It aggregates historical fundamental data for whatever tickers you specify or from a subset of tickers. Let me know what you think
-
Is accurate quarterly earnings data availible?
This package https://github.com/theOGognf/finagg already implements the complete SEC EDGAR REST API (disclaimer: I'm the author), and the archive-based API is in the works. I suggest you give it a go using the latest version off GitHub
-
Sunday Daily Thread: What's everyone working on this week?
I've got some time set aside to implement a (file based) SEC EDGAR API described in this issue https://github.com/theOGognf/finagg/issues/43
- finagg: NEW Data - star count:107.0
panel
-
This Week In Python
panel – data exploration & web app framework for Python
-
panel VS solara - a user suggested alternative
2 projects | 13 Oct 2023
-
What python library you are using for interactive visualisation?(other than plotly)
https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.
-
FastAPI, Panel and Bokeh
I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py
-
How to approach GIS and which language to use
If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).
-
Panel - A high-level app and dashboarding solution for Python
panel
-
Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
My suggestion is https://panel.holoviz.org/
Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.
-
Updating a page with MQTT
I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.
-
Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
-
4 Streamlit Alternatives for Building Python Data Apps
Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.
What are some alternatives?
pyautoenv - Automatically activate and deactivate Python environments as you move around the file system.
streamlit - Streamlit — A faster way to build and share data apps.
sql-to-kml - Format SQL query results into a KML file.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
plombery - Python task scheduler with a user-friendly web UI
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
usepython - Run Python scripts in a Pyodide service worker
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
bytewax - Python Stream Processing
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests
jupyterlite - Wasm powered Jupyter running in the browser 💡