Activity of alpacahq/marketstore repository

Active 🚀

Active contributions

Why alpacahq/marketstore is active?

The result is based on ratio of number of commits and code additions from initial and final time ranges.

Initial time range – from 14 Aug, 2023 to 14 Nov, 2023

Final time range – from 15 May, 2024 to 14 Aug, 2024

Additions and deletions stats are not available for this repository due to GitHub API limitations.

Data calculated on 14 Aug, 2024

Bus factor

What is Bus factor?

It is basically a number of most active contributors responsible for 80% of contributions.

Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.

The alpacahq/marketstore repository has a bus factor of 5.

Medium risk, some knowledge concentrated in a few people

Bus factor was measured on 14 Aug 2024

Summary of alpacahq/marketstore

AlpacaHQ's marketstore repository on GitHub is an open-source project that provides a database for serving financial market data. It is designed with the principle that financial market data should be as real-time and accessible as possible.

Here are some key features of the repository:

Disk Map Structure: The repository implements a storage system for market data, which uses a columnar database disk map structure designed for the time-series pattern in market data.
User-Defined Functions (UDFs): It also supports UDFs and allows users to extend the server's abilities with built-in commands.
Data Integration: It allows seamless data integration with different sources.
Go-based and Interface-Driven Design: It is mainly written in Go (Golang) and the configuration of data sources is done using interface-driven design. This makes it easy to extend for multiple data vendors.

Here is the link to the repository - marketstore.

# [Marketstore](https://github.com/alpacahq/marketstore)

Marketstore is a database server made available as open-source by AlpacaHQ, ideal for managing financial market data. It allows for easy and real-time data access.

Main features:

- A unique **Disk Map Structure** suiting the time-series pattern in market data.
- Support for **User-Defined functions (UDFs)**
- Seamless **Data Integration** with various sources
- A Go-based, **Interface-Driven Design** 

The repository documents comprehensive details on how to set up, use, and extend the functionalities.