timeplotters vs Matplotlib

Struggling to choose between timeplotters and Matplotlib? Both products offer unique advantages, making it a tough decision.

timeplotters is a Office & Productivity solution with tags like time-tracking, productivity, visualization.

It boasts features such as Time tracking, Productivity tracking, Visualizations, Reports, Idle time tracking, Project management, Calendar integration and pros including Easy to use interface, Visualizations help see time usage, Can track time automatically, Integrates with other apps, Can track billable & non-billable time.

On the other hand, Matplotlib is a Photos & Graphics product tagged with plotting, graphs, charts, visualization, python.

Its standout features include 2D plotting, Publication quality output, Support for many plot types (line, bar, scatter, histogram etc), Extensive customization options, IPython/Jupyter notebook integration, Animations and interactivity, LaTeX support for mathematical typesetting, and it shines with pros like Mature and feature-rich, Large user community and extensive documentation, Highly customizable, Integrates well with NumPy, Pandas and SciPy, Output can be saved to many file formats.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

timeplotters

timeplotters

Timeplotters is a time tracking and productivity software designed to help users visualize how they spend their time. It provides easy time tracking, colorful visualizations and reports, and features to improve productivity.

Categories:
Office & Productivity Time Management
time-tracking productivity visualization

Timeplotters Features

  1. Time tracking
  2. Productivity tracking
  3. Visualizations
  4. Reports
  5. Idle time tracking
  6. Project management
  7. Calendar integration

Pricing

  • Freemium
  • Subscription-based

Pros

Easy to use interface

Visualizations help see time usage

Can track time automatically

Integrates with other apps

Can track billable & non-billable time

Cons

Can be pricey for sole users

Mobile app lacks some features

Steep learning curve

No invoicing features

Matplotlib

Matplotlib

Matplotlib is a comprehensive 2D plotting library for Python that allows users to create a wide variety of publication-quality graphs, charts, and visualizations. It integrates well with NumPy and Pandas data structures.

Categories:
Photos & Graphics Data Visualization
plotting graphs charts visualization python

Matplotlib Features

  1. 2D plotting
  2. Publication quality output
  3. Support for many plot types (line, bar, scatter, histogram etc)
  4. Extensive customization options
  5. IPython/Jupyter notebook integration
  6. Animations and interactivity
  7. LaTeX support for mathematical typesetting

Pricing

  • Open Source

Pros

Mature and feature-rich

Large user community and extensive documentation

Highly customizable

Integrates well with NumPy, Pandas and SciPy

Output can be saved to many file formats

Cons

Steep learning curve

Plotting code can be verbose

3D plotting support is limited

Cannot do web visualization (unlike Bokeh or Plotly)