
Sonix.ai
Otter.ai
Descript
HappyScribe
Trint
Notta.ai
Rev.com
TurboScribe
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Sonix.ai
MatplotlibBased on our record, Matplotlib should be more popular than Sonix.ai. 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.
Sonix | Senior Full-Stack Engineer | Remote (US only) | Full-time | Ruby on Rails + React Sonix (https://sonix.ai) is an AI-powered transcription and translation platform used by thousands of businesses, researchers, media teams, and legal professionals around the world. Weโre profitable, bootstrapped, and growing fast. Weโre looking for a senior full-stack engineer to join our small team. Youโll work directly... - Source: Hacker News / 11 months ago
There's dozens of tools out there for this these days. I'd recommend sonix.ai they give you 30 minutes free. Source: about 3 years ago
Do you have a budget? If so, there's this tool I've worked with called Sonix that generates transcripts of what you feed into it. It's not super accurate, but it's good enough. One of the features is that you can "highlight" chunks of text, and have it spit out an XML that will have a sequence containing only the highlighted text. Source: over 3 years ago
Sonix was the one I used because it had 30 free minutes and the video was only 10-11 minutes long. It seems to have done a really decent job, but not sure if that's because the source audio is pretty clear. Source: over 3 years ago
Sonix.ai does many languages and is quite good. Source: over 3 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 / 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
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Descript - Text-based audio editor and automated transcription
NumPy - NumPy is the fundamental package for scientific computing with Python
HappyScribe - Happy Scribe automatically transcribes your interviews
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.