Life & fun · alternatives · 2026
24 alternatives to Pandas, Numpy, and SciPy users can now access our over 4M datasets
The source for financial, economic, and alternative datasets, serving investment professionals.
Quandl provides access to over 4 million financial, economic, and alternative datasets for investment professionals. It integrates with popular Python libraries like Pandas, NumPy, and SciPy, enabling data analysis… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Pandas, Numpy, and SciPy users can now access our over 4M datasets launched in 2013; newer entries below may have overtaken it.
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High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
2021 · github.com · its alternatives →
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Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.
2019 · towardsdatascience.com · its alternatives →
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Quantra: a derivatives pricing platform built on an open source C++ QuantLib engine, with a Python orchestration API and a web portal.
2017 · quantra.io · its alternatives →
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Pandada AI▲620Build data wealth: Turns files into McKinsey-level insights
Jan 2026 · pandada.ai · its alternatives →
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Quanty▲104AI powered market analysis platform with GraphQL API
2024 · quanty.ai · its alternatives →
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Pandas is the most common python library for data analytics
2016 · amazon.com · its alternatives →
- 10BA
2019 · bamboolib.com · its alternatives →
- 11DD
Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and lineage. We launched two years ago with a tool for regression-testing changes to ETL code…
2022 · its alternatives →
- 12HI
2013 · quantopian.com · its alternatives →
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Quantbase▲144Launch an investment fund for your audience in under 2 weeks
2022 · getquantbase.com · its alternatives →
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Open Data Platform for analysts, quants and AI agents. - OpenBB-finance/OpenBB
2023 · github.com · its alternatives →
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5/6 · The workflow of a professional quant trading firm.
2016 · soundcloud.com · its alternatives →
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Zipline, a Pythonic Algorithmic Trading Library. Contribute to quantopian/zipline development by creating an account on GitHub.
2013 · github.com · its alternatives →
- 18DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
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Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.
2018 · github.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 →
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Backstory: I wanted to play with intraday stock data but couldn't find a free dataset anywhere. IEXCloud [1] offers API access to 1-minute granularity intraday historical price data, but I was worried that it could get expensive or unwieldy to build up a substantial dataset via API calls. Plus, IEX gives out their raw data for free. I probably should have just used the IEXTools python library [2] to parse IEX's raw data dumps, but I was working on a Julia project, so it felt more thematically appropriate to build a new tool from scratch. I haven't been actively using InvestorsExchange.jl a…
2022 · github.com · its alternatives →
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A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
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A container for dataclasses with multi-indexing and bulk operations. - joshlk/dataclassframe
2020 · github.com · 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 →