Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Snowball Analytics
Sharesight
Kubera
getquin
Portfolio Performance
Yahoo! Finance
Beanvest
Simply Wall Street
Snowball Analytics is an investment tracking app for any thoughtful long-term investor. Get overview of all your investments in one place - portfolio performance, dividends, company fundamentals, benchmarking and more.
๐ Lose the spreadsheet โ we make investment tracking easy and hassle-free
๐ฐ All your investments in one place - stocks, crypto, funds, real estate, etc.
๐ Multiple currencies and stock exchanges
โฑ๏ธ Easy data import - link your brokerage account in a few minutes (US, EU, Asia, ...). 1000+ brokers supported
๐ Benchmarking - compare your results with popular funds and indices
๐ช Comprehensive dividend analytics, future dividends and our own rating of dividend companies
๐ฑ๏ธ One-click portfolio rebalancing
๐ Company fundamentals
๐ค Community - see how other investors are navigating their portfolio in current market conditions
Matplotlib Snowball AnalyticsBased on our record, Matplotlib should be more popular than Snowball Analytics. It has been mentiond 114 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Https://snowball-analytics.com has categories, but about $150 a year for multiple portfolios. Source: almost 3 years ago
If you're contributing monthly, use those funds to top up. Otherwise, there are online tools you can use to get rebalancing very close. I use https://snowball-analytics.com/ but there are others I'm sure. Source: about 3 years ago
You can try Snowball Analytics. Have been using the free edition for a while now and its OK but its not as comprehensive as other tools. Source: about 3 years ago
You can use โstock eventsโ or https://snowball-analytics.com to manually add your positions from all your brokers and see a total overview. Source: about 3 years ago
For trading/broker I use M1 Finance. The app on the screenshot is https://snowball-analytics.com/ but itโs not a trading app, itโs just to track dividends and stuff. Source: over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Sharesight - Online stock portfolio tracker that automatically tracks prices, dividends, performance and tax.
NumPy - NumPy is the fundamental package for scientific computing with Python
Kubera - Protect your wealth
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
getquin - Track all your investments in one place
