socketify.py
SiftingIO
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SiftingIO is an API-first market data platform built for financial applications, trading tools, dashboards, research platforms, and enterprise data workflows.
The platform helps teams access consistent market data across multiple asset classes using unified JSON schemas, multi-venue aggregation, REST APIs, WebSocket streams, SDKs, and developer-ready documentation.
SiftingIO is designed for teams that need real-time quotes, historical data, OHLCV candles, trades, reference data, and scalable integration patterns without maintaining separate vendor feeds for each market.
socketify.py SiftingIOSiftingIO's answer:
SiftingIO is built on a modern API and data infrastructure for real-time and historical market data delivery.
The platform uses technologies and engineering patterns around:
The focus is on building a reliable data infrastructure that can serve financial applications, dashboards, trading tools, research systems, and enterprise workflows.
SiftingIO's answer:
SiftingIO is built around a simple idea: market data should be easier to integrate, but not simplified to the point where it becomes unreliable.
The platform combines real-time and historical data across multiple asset classes under one API structure. Teams can work with stocks, FX, crypto, commodities, DEX, and on-chain markets without maintaining separate schemas, authentication models, and integration logic for each source.
What makes SiftingIO different is the engineering layer behind the API:
This makes SiftingIO useful for teams that care not only about accessing data, but also about keeping their data infrastructure clean and scalable.
SiftingIO's answer:
SiftingIO is a strong choice for teams that need market data across more than one asset class and want to avoid maintaining multiple vendor integrations.
Many financial applications start with one market, then expand into others. A team may begin with FX or crypto, then later need stocks, commodities, DEX data, or on-chain metrics. SiftingIO is designed for that kind of growth.
Key reasons to choose SiftingIO:
The main value is not only data access. It is reducing the engineering cost of using market data across financial products.
SiftingIO's answer:
SiftingIO is built for technical and data-driven teams working with financial market data.
The primary audience includes:
SiftingIO is especially useful for teams that need both real-time and historical data, or teams that work across multiple asset classes and want a consistent API model instead of separate vendor-specific integrations.
SiftingIO's answer:
SiftingIO was created from hands-on experience building and operating financial data infrastructure.
Market data integrations often become more complex as products grow. Each asset class can come with different data formats, different delivery methods, different authentication models, and different assumptions about symbols, timestamps, quotes, trades, and history.
SiftingIO was built to reduce that complexity.
The goal is to provide a consistent market data API that helps teams access real-time and historical data across multiple asset classes without rebuilding their integration every time they add a new market.
The product reflects an engineering-first approach: clean API design, unified schemas, REST and WebSocket support, multi-venue aggregation, and infrastructure that can support production financial workflows.
SiftingIO's answer:
SiftingIO does not publicly list customer names unless they are approved for disclosure.
The platform is designed for financial applications, trading tools, dashboards, research platforms, quantitative teams, fintech companies, and enterprise data workflows that need real-time or historical market data through APIs.
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
