Dev tools · alternatives · 2026

24 alternatives to Quantra.io, a quantitative finance API made with Quantlib
Quantra: a derivatives pricing platform built on an open source C++ QuantLib engine, with a Python orchestration API and a web portal.
Quantra.io is a derivatives pricing platform that uses an open-source C++ QuantLib engine to price bonds, swaps, swaptions, and credit derivatives. It serves quantitative finance teams and financial institutions that… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Quantra.io, a quantitative finance API made with Quantlib launched in 2017; newer entries below may have overtaken it.
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- 2AY
2017 · terminal.quantra.io · its alternatives →
- 3
Quanty▲104AI powered market analysis platform with GraphQL API
2024 · quanty.ai · its alternatives →
- 4HI
2013 · quantopian.com · its alternatives →
- 5IM
2013 · scarcecapital.com · its alternatives →
- 6

Invest in algo-driven, automatically rebalanced portfolios built by quants. Congressional trades, AI stocks, leveraged strategies and more. Start with $50.
2021 · getquantbase.com · its alternatives →
- 7PN
The source for financial, economic, and alternative datasets, serving investment professionals.
2013 · quandl.com · its alternatives →
- 8
Kotlin Money▲427Manipulating monetary amounts is a common computing chore. However, no mainstream language has a first-class data type for representing money, it’s up to programmers to code abstractions for it. This isn’t an issue per se until dealing with rounding issues from operations like installment payments (e.g., buy now, pay later), foreign exchange, or even simple things like fee processing and tax collection. Inspired by my days at N26 Brasil dealing with these challenges, I introduce Money: a Kotlin library that makes monetary calculations and allocations easy.
2024 · blog.eriksen.com.br · its alternatives →
- 9
Quanta▲120Hello! I’m an engineer who has spent the majority of my career building financial systems and ledgers in fintech. A theme across those years was how painful traditional accounting software was to use, so I set out to build something better with Quanta. The best way to get started was by building software that would enable the best full-service accounting experience, as well as help business owners understand their business. If you have a software business, I’d love for you to check out our free trial. Any feedback appreciated. Thank you!
2025 · usequanta.com · its alternatives →
- 10

2021 · github.com · its alternatives →
- 11

Hi everyone, I wanted to share Quantus, a finance learning and practice platform I’m building out of my own frustration with traditional resources. As a dual major in engineering and finance who started my career at a hedge fund, I found it challenging to develop hands-on financial modeling skills using existing tools. Platforms like Coursera, Udemy, Corporate Finance Institute (CFI), and Wall Street Prep (WSP) primarily rely on video-based tutorials. While informative, these formats often lack the dynamic, interactive, and repetitive practice necessary to build real expertise. For example,…
2024 · quantus.finance · its alternatives →
- 12

Haskell wrapper for the CryptoCompare API - No longer maintained, ping me if you'd like to take over - aviaviavi/cryptocompare
2017 · github.com · its alternatives →
- 13

High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
2021 · github.com · its alternatives →
- 14

Zipline, a Pythonic Algorithmic Trading Library. Contribute to quantopian/zipline development by creating an account on GitHub.
2013 · github.com · its alternatives →
- 15QB
We think backtesting is too difficult, this is our attempt to make it much easier and more fun - let us know what you think!
2012 · quantblocks.com · its alternatives →
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Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
Apr 2026 · github.com · its alternatives →
- 18
HeyTraders▲128HeyTraders parses natural language queries into trading logic for instant crypto backtesting and market research
Jan 2026 · hey-traders.com · its alternatives →
- 19

Quant trading using Python and Block Code. Live and Backtest
Jul 2026 · quantstudio.trade · its alternatives →
- 20QT
Today we're releasing Quant (https://sourcetable.com/quant), an AI analyst that connects to 600+ exchanges with 1000+ built-in analysis tools. Andrew, CTO, has a background building software at hedge funds so we put his knowledge and experience into this application. The core idea: if you already know spreadsheets, you shouldn't need to learn Python/R or set up complex infrastructure to do serious quantitative analysis. One way to think of Quant is a low-cost Bloomberg Terminal alternative. What's inside: Portfolio optimization (including Dalio's risk parity approach),…
2025 · its alternatives →
- 21BT
2020 · tradytics.com · its alternatives →
- 22
Quantiacs▲82Earn money by creating trading algorithms in your spare time
2017 · quantiacs.com · its alternatives →
- 23

quantnews.com is a premium domain name available for purchase. Make an offer or buy it now via Safenames Ltd — secure escrow, ICANN-accredited transfer.
2015 · quantnews.com · its alternatives →
- 24

QuantSignals FST is a supervised AI trading agent that connects QS Research to risk-governed brokerage execution across web, desktop, CLI, iOS, and Android.
Aug 2026 · quantsignals.xyz · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →