OBS Studio
Camtasia
ShareX
BandiCam
XSplit
Snagit
Screencast-O-Matic
ScreenRec
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
OBS Studio
MatplotlibBased on our record, OBS Studio should be more popular than Matplotlib. It has been mentiond 1070 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.
I used https://www.shotcut.org/ to edit a few videos, it has many effects. For live streaming https://obsproject.com/ but I don't remember too much. - Source: Hacker News / 8 months ago
FWIW, OBS is ~150 MB, not an electron app and actually open source. https://obsproject.com/. - Source: Hacker News / about 1 year ago
Https://magicmusicvisuals.com/ combined with https://obsproject.com/. And possibly OBS all by itself. - Source: Hacker News / about 1 year ago
./red5.sh # for Linux or Mac Red5.bat # for Windows You should see console output indicating the server has started successfully, typically on `localhost:5080`. 2. To test if your RTMP server is live, open your web browser and go to `http://localhost:5080/`. You should see the Red5 landing page. ### Step 4: Configure RTMP Applications Red5 supports RTMP out of the box. You can now create and configure RTMP... - Source: dev.to / over 1 year ago
You might look into OBS and/or VoiceMeeter to see how streamers selectively route audio while livestreaming/recording video/audio streams. https://obsproject.com/ https://voicemeeter.com/. - Source: Hacker News / over 1 year 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 / 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
Camtasia - Unleash the worldโs most powerful screen recorder and video editor with everything you need to tell your story โ powered by AI.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ShareX - ShareX is a free and open source program that lets you capture or record any area of your screen...
NumPy - NumPy is the fundamental package for scientific computing with Python
BandiCam - Bandicam is a screen recording platform built to accommodate the needs of a wide variety of different users.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.