Alternatives
Products that do what Finagg – free and nearly unlimited financial data does
finagg is a Python package and CLI that enables you to aggregate and update free financial data from a handful of high quality data sources all within your own SQL database. Here're some quick facts about it: - Implements nearly all of the BEA API, FRED API, and SEC EDGAR APIs (all of which have free and nearly unlimited data access) - Only focused on macrodata (no intraday data support) - Provides methods for transforming data from these APIs into normalized features that're readily useable for analysis, strategy development, and AI/ML - The most popular methods include getting…
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Hi! I'm Jax and I've been building this cool little terminal app for myself to track my expenses and budgets! Other than challenging myself to learn Python, I built this mainly around the habit of budget tracking at the end of the day. (I tried tracking on-the-go, but the balance was always out of sync.) All data is stored in a single sqlite file, so you can export and process them all you want! The app is built using the textual API for Python! Awesome framework which feels like I'm doing webdev haha. You can check out some screenshots on gh:…
2025 · github.com
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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
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finstruments is a Python library designed for modeling financial instruments. It comes with the core financial instruments, such as forwards and options, out of the box, as well as position, trade, and portfolio models. finstruments comes with the basic building blocks, making it easy to extend and build new instruments for any asset class. These building blocks also provide the functionality to serialize and deserialize to and from JSON, enabling the ability to store a serialized format in a document database. This library is ideal for quantitative researchers, traders, and developers who…
2024 · github.com
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2022 · athenodoros.github.io
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Open Finance MCP▲101Access your bank data in ChatGPT & Claude via Open Finance
May 2026 · cumbuca.com
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Learning finance is boring, so we are making it fun with Fingo. Have also implemented a trial without signup! Please try and leave your feedback, good or bad.
2023 · tryfingo.com
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We built a local-first, private, multi-currency, double-entry based personal finance app. It will help you track, visualize, and plan your financial journey. Use the `Try demo` button, to try it without an account. Small screens (mobiles) are not supported yet. By local-first we mean, your data is on your system (we use sqlite over opfs, in browser). For synching across devices, the data is encrypted with your key before it leaves your device. You can backup the data locally (if you are using chrome) and/or to your dropbox. It's designed so that we (the people building it) can't access…
Nov 2025 · finbodhi.com
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Hey HN, I'm Steve, co-founder of Factor.fyi, a new data platform for querying and visualizing financial datasets using SQL. During the pandemic, I took much more of an active role in managing my portfolio. I wanted to be able to make informed decisions about the investments I was making, and explore financial data in new ways. Market and Econ data are some of the most talked-about and widely-available datasets out there, but I was frustrated by the lack of options to answer questions I had, like, "What would have happened if I had started dollar-cost averaging VTI back in 2013?"[1] Or, "How…
2022 · factor.fyi
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2021 · github.com
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It's at http://finkin.com. The goal is to allow a developer to sign up in seconds, and within minutes begin querying data. It runs under https and stores no access information. From http://news.ycombinator.com/item?id=1431583, I realized that all those types of sites are not tailored to developers like the other simple APIs around the web are (i.e. flickr). I made mine as simple as I thought possible. From http://news.ycombinator.com/item?id=1676458, I realized that eventually it should be a scalable model where you pay pennies per the # of requests you make. Right now it supports many…
2010
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There are a lot of APIs that provide access to these types of data, but there were not any (as far as we're aware of) tools & services that provide access to query the raw data directly for analytical purposes. We get the data across different sources and clean, schematize them in a PostgreSQL databases so folks can query/analyze the data directly. We have ~100 tables of data across stocks, ETFs, economic indicators, US/international census data and plan to keep adding more. More information on the tables are available at https://docs.wizdata.io Access to all of the data…
2022 · wizdata.io
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I built Duebase AI to solve a problem I kept running into in fintech - analyzing UK company financial health takes forever. The process usually goes: download PDFs from Companies House → manually extract data to spreadsheets → calculate ratios → interpret trends. Takes 3-4 hours per company and requires serious financial expertise. The technical challenge: Companies House filings are messy. Inconsistent formats, complex accounting structures, missing data, and you need to understand UK accounting standards to make sense of it all. My approach: Parse 15M+ UK company records from Companies…
2025 · duebase.com
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