finagg
rest.li
| finagg | rest.li | |
|---|---|---|
| 17 | 2 | |
| 387 | 2,436 | |
| - | 0.0% | |
| 8.1 | 8.4 | |
| 6 days ago | 6 days ago | |
| Python | Java | |
| Apache License 2.0 | 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.
finagg
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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
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[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
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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
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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
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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
rest.li
- FLaNK Stack 29 Jan 2024
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LinkedIn Adopts Protocol Buffers and Reduces Latency Up to 60%
From rest.li's github page[0] -
At LinkedIn, we are focusing our efforts on advanced automation to enable a seamless, LinkedIn-wide migration from Rest.li to gRPC. gRPC will offer better performance, support for more programming languages, streaming, and a robust open source community. There is no active development at LinkedIn on new features for Rest.li. The repository will also be deprecated soon once we have migrated services to use gRPC. Refer to this blog[1] for more details on why we are moving to gRPC.
[0] - https://github.com/linkedin/rest.li
[1] - https://engineering.linkedin.com/blog/2023/linkedin-integrat...
What are some alternatives?
pyautoenv - Automatically activate and deactivate Python environments as you move around the file system.
Swagger - The content of swagger.io
sql-to-kml - Format SQL query results into a KML file.
Feign - Feign makes writing java http clients easier
plombery - Python task scheduler with a user-friendly web UI
Jersey - Eclipse Jersey Project - Read our Wiki:
usepython - Run Python scripts in a Pyodide service worker
Dropwizard - A damn simple library for building production-ready RESTful web services.
bytewax - Python Stream Processing
Retrofit - A type-safe HTTP client for Android and the JVM
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests
Microserver - Microserver is a Java 8 native, zero configuration, standards based, battle hardened library to run Java Rest Microservices via a standard Java main class. Supporting pure Microservice or Micro-monolith styles.