finagg
java-snapshot-testing
| finagg | java-snapshot-testing | |
|---|---|---|
| 17 | 2 | |
| 387 | 104 | |
| - | -1.9% | |
| 8.1 | 3.4 | |
| 5 days ago | 28 days ago | |
| Python | Java | |
| Apache License 2.0 | MIT 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
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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
java-snapshot-testing
- FLaNK Stack 29 Jan 2024
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📸 Snapshot Testing with Kotlin
In this PoC I will use origin-energy/java-snapshot-testing and as stated in "the testing framework loved by lazy productive devs" I use it whenever I find myself manually saving test expectations as text files 😅
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