Software Alternatives, Accelerators & Startups
Register | Login

f.lux VS Matplotlib

Compare f.lux VS Matplotlib and see what are their differences

Topolog
Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

f.lux logo f.lux

f. lux is a piece of software for Windows, Mac, Linux, iOS, and Android that provides a blue light filter over your screen. Research suggests limiting our exposure to blue light in the hours before bedtime can help us fall asleep faster.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • f.lux Landing page
    Landing page //
    2021-09-18
  • Matplotlib Landing page
    Landing page //
    2023-06-14

f.lux features and specs

  • Reduced Eye Strain
    f.lux adjusts the color temperature of your screen to match the lighting conditions, which can help reduce eye strain, especially during nighttime use.
  • Improved Sleep Quality
    By reducing blue light exposure in the evening, f.lux can help regulate your circadian rhythm, potentially improving sleep quality.
  • Customizable Settings
    f.lux offers various customization options allowing users to set their own schedules and adjust the color temperature to their preference.
  • Cross-Platform Availability
    f.lux is available on Windows, Mac, Linux, and iOS, making it accessible to a broad range of users regardless of their preferred platform.
  • Free to Use
    f.lux is available for free, making it an attractive option for users looking for screen color adjustment software without incurring costs.

Possible disadvantages of f.lux

  • Compatibility Issues
    Some applications and games may not function properly when f.lux is running, causing issues such as color inaccuracies or screen flickering.
  • Learning Curve
    While f.lux is relatively simple, new users may need some time to fully understand and effectively use its various settings and features.
  • Performance Impact
    On lower-end systems, running f.lux can sometimes lead to a minor performance impact, potentially slowing down the computer.
  • Limited Mobile Support
    f.lux is not available on Android devices, restricting its usage for users who primarily rely on this operating system.
  • Privacy Concerns
    As with any software that alters system settings, some users may have concerns about the level of access and control f.lux requires to function correctly.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of f.lux

Overall verdict

  • f.lux is generally considered a good tool for those looking to reduce blue light exposure and improve their screen viewing experience, particularly at night. It is user-friendly and offers customizable settings to suit individual preferences.

Why this product is good

  • f.lux is designed to help reduce eye strain from computer screens by adjusting the color temperature according to the time of day, making it warmer at night to reduce blue light exposure. This can improve sleep quality and reduce fatigue for users who spend long hours in front of screens.

Recommended for

    f.lux is recommended for individuals who work late into the night on computers, people sensitive to blue light exposure, and anyone looking to improve their sleep patterns by minimizing screen glare after sunset.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

f.lux videos

+ Add

F.lux Review - Should You Really Use It? [MY EXPERIENCE]

More videos:

  • Review - Does F.lux (FLUX) Really Work? Blue Light Filter test W/ Ghetto Science Applied.
  • Demo - F.lux - Review & Demo

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to f.lux and Matplotlib)

f.lux

Matplotlib

Work Management
100 100%
Work Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Color Temperature Adjuster
100 100%
Color Temperature Adjuster
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using f.lux and Matplotlib. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare f.lux and Matplotlib

f.lux Reviews

We have no reviews of f.lux yet.
Be the first one to post

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, f.lux should be more popular than Matplotlib. It has been mentiond 350 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.

f.lux mentions (350)

  • Adafruit Receives Demand Letter from Fenwick Legal Counsel on Behalf of Flux.ai
    Nor f.lux, the warm light software that got Sherlocked by every major OS. https://justgetflux.com/. - Source: Hacker News / about 2 months ago
  • Show HN: Monchromate โ€“ the best greyscale browser extension
    Somewhat related: I really like f.lux's "Darkroom" feature. Although I no longer use the app to reduce blue light after the advent of macOS's Night Shift, Darkroom mode tints the screen completely red (like a red version of Color Filters). It's great for working during the wee hours. https://justgetflux.com/. - Source: Hacker News / 12 months ago
  • Flux is fast and it's open source
    I know naming things is hard, but... https://justgetflux.com/ https://flux11pro.com/ (Maybe the same thing? Unclear.) https://github.com/flux-framework/flux-core (apparently archived now, but this was the first thing I thought of) https://www.flux.ai/ https://fluxcd.io/ https://runonflux.io/ https://fluxml.ai/. - Source: Hacker News / almost 2 years ago
  • Modos Paper Monitor Pre-Launch on Crowd Supply
    Give Flux a try. https://justgetflux.com/ It did it before night mode and does it far better. ;). - Source: Hacker News / about 2 years ago
  • Tools that keep me productive
    For those evenings where I'm in front of the computer, f.lux is a must. Like some wise person said, "Be kind to your eyeballs". macOS's Nightshift kind of works, but f.lux destroys it. - Source: dev.to / about 2 years ago
View more

Matplotlib mentions (114)

  • The soul file
    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
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s 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
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    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
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    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, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing f.lux and Matplotlib, you can also consider the following products

LightBulb - Background application that adjusts screen gamma, making the colors appear warmer at night...

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Red Moon - Screen filter for night time phone use.

NumPy - NumPy is the fundamental package for scientific computing with Python

Dimmer - A very small and free utility for Windows to reduce brightness on LCD/TFT screens.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Loading...