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Description
Massive serves as a comprehensive market-data infrastructure platform designed to furnish developers, startups, and trading firms with both real-time and historical financial information. The service provides institutional-quality market data across a variety of asset classes, including stocks, options, indices, currencies, and futures, accessible through a user-friendly API, WebSocket, flat-file S3 access, or SQL query interface. Prioritizing low latency, Massive offers direct connections to leading exchanges such as NYSE, NASDAQ, CBOE, and OTC, while ensuring data normalization to prevent survivorship bias and outdated information pipelines. By positioning itself as a force for “modernizing Wall Street,” Massive seeks to dismantle traditional barriers, making high-quality market data that was once exclusive to large institutions readily available to any application developer. In addition to its robust data offerings, the platform features a wealth of documentation, client libraries compatible with languages such as Python, JavaScript, Go, and Java, as well as tutorials and sample projects, all aimed at facilitating seamless integration for users. This commitment to accessibility and ease of use empowers a new generation of fintech innovation, enabling developers to harness sophisticated financial data effortlessly.
Description
The websockets library offers a comprehensive implementation of the WebSocket Protocol (RFC 6455 & 7692) for creating both WebSocket servers and clients in Python, emphasizing accuracy, simplicity, durability, and high performance. Utilizing asyncio, which is Python’s built-in asynchronous I/O framework, it presents a sophisticated coroutine-based API that streamlines development. The library has undergone extensive testing to ensure it meets the requirements outlined in RFC 6455, and its continuous integration process mandates that every branch achieves 100% coverage. Designed specifically for production environments, websockets was notably the first library to effectively address backpressure issues before they gained widespread attention in the Python ecosystem. Furthermore, it offers optimized and adjustable memory usage, and utilizes a C extension to enhance performance for demanding operations. The library is conveniently pre-compiled for Linux, macOS, and Windows, and is distributed in wheel format tailored for each system and Python version. With websockets managing the intricate details, developers can dedicate their efforts to building robust applications without concern for the underlying complexities. This makes it an essential tool for developers looking to harness the full potential of WebSocket technology.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Python
Yes
Azure Web PubSub
No
Coinbase
Yes
Go
Yes
Google Cloud Platform
Yes
Google Sheets
Yes
Hoppscotch
No
JSON
Yes
Java
Yes
JavaScript
Yes
Integrations
Python
Yes
Azure Web PubSub
Yes
Coinbase
No
Go
No
Google Cloud Platform
No
Google Sheets
No
Hoppscotch
Yes
JSON
No
Java
No
JavaScript
No
Pricing Details
$29 per month
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Massive
Founded
2017
Country
United States
Website
massive.com
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/websockets/