Liveplan
Bizplan
IdeaBuddy
Upmetrics
Enloop
Cuttles.io
Strategyzer
Beezly.io
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
LivePlan simplifies business planning, budgeting, forecasting, and performance tracking for small businesses and startups. Set business goals, compare performance to industry benchmarks, and see all your key numbers in an easy-to-use dashboard so you know exactly what's going on in your business. Less than $20/month.
Liveplan
MatplotlibLiveplan is recommended for entrepreneurs, small business owners, business consultants, and startups who need a reliable and structured tool for creating detailed business plans and financial forecasts. It's particularly useful for users who require collaborations, integrations with existing accounting systems, and step-by-step guidance in the planning process.
Based on our record, Matplotlib seems to be a lot more popular than Liveplan. While we know about 114 links to Matplotlib, we've tracked only 1 mention of Liveplan. 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.
Oh, plus liveplan.com for your business plan. Source: about 4 years ago
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 / 5 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 / 8 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 / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 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 / 11 months ago
Bizplan - Modern business planning for startups
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
IdeaBuddy - Innovative business planning software
NumPy - NumPy is the fundamental package for scientific computing with Python
Upmetrics - Plan, Launch, and Grow your Business
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.