
Automated software dependency project health tracking

CoinAPI
tardis.dev
Amberdata
CoinMarketCap
Point-in-time crypto microstructure, liquidity and order-flow metrics plus raw trades and quotes as parquet, on venues incl. Binance, OKX, Hyperliquid.

Which is more popular?
Based on our record, Deadpendency seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | deadpendency.com | aperiodic.io |
| Pricing | ||
| Platforms | — | |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Deadpendency yet.
Aperiodic turns raw crypto order book and trade data into 220 point-in-time microstructure, liquidity and order-flow metrics across 19 datasets, including Kyle's lambda, Amihud illiquidity, flow toxicity and slippage in basis points. Venues include Binance futures, OKX perps and Hyperliquid...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Aperiodic.io yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Deadpendency and Aperiodic.io.
Aperiodic.io's answer:
Aperiodic sells the feature layer between raw ticks and finished analytics: 220 point-in-time microstructure, liquidity and order-flow metrics (Kyle's lambda, Amihud illiquidity, flow toxicity, flow entropy, slippage in basis points and more), computed from raw order book and trade data with no look-ahead. You get them as parquet through a CLI, a REST API or the Python SDK, and the raw trades, quotes and derivatives data behind them are available too. A preview slice of every dataset downloads with one CLI command and no API key.
Aperiodic.io's answer:
Quant researchers and systematic traders working on crypto perpetual futures: researchers at systematic funds and prop desks, independent quants, and students who need order-flow and liquidity features for backtests and models. Self-serve plans carry a personal licence; funds and desks use the Institutional plan for commercial use.
Aperiodic.io's answer:
If you research crypto perpetuals, the usual choice is raw ticks you have to engineer into features yourself, or sales-gated analytics you cannot try first. Aperiodic gives you the computed features directly, so you can test an order-flow idea the same day instead of building a pipeline first. You can also try it before paying: the preview needs no API key or signup, and self-serve plans start at $29 a month, billed yearly, with no sales call.
Share your experience with using Deadpendency and Aperiodic.io. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I created a tiny startup in Haskell which failed RIP. I decided to open source the code though. Source: over 3 years ago
I sometimes stream my Haskell work on deadpendency - https://www.twitch.tv/alistairbuzz. Source: over 5 years ago
Tracking Aperiodic.io since Oct 2026.