
Otter.ai
Fireflies.ai
Descript
Notta.ai
HappyScribe
Sonix.ai
Trint
Fathom
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Otter.ai uses an AI Meeting Assistant to transcribe meetings in real time, record audio, capture slides, extract action items, and generate an AI meeting summary.
Otter.ai
MatplotlibSoftware is great & good to see sales being considered more with CRM integrations. Only pain point is inability to download summaries as PDFs
Based on our record, Matplotlib seems to be a lot more popular than Otter.ai. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of Otter.ai. 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.
Work meetings can be exhausting, especially when they run back-to-back all day. You need to switch between topics while staying focused. Taking notes of colleaguesโ speeches and agreements helps, but it isnโt easy. Colleagues can speak very fast, and whether you're typing or writing by hand, keeping up is hard, and handwritten notes can be illegible or lost entirely. AI tools for transcription, like Otter.ai... - Source: dev.to / 2 months ago
Dedicated Assistants: Tools like Otter.ai or Fireflies.ai act like an extra participant in the meeting. They join the call, record the audio, transcribe it, and, crucially, identify who said what. This is invaluable for follow-up. - Source: dev.to / 5 months ago
Otter.ai: Auto-record, transcribe, and tag meetings. - Source: dev.to / about 1 year ago
We use LLMs to do proofreading and editing of transcripts after they are edited by people. They are good at applying our customer's specific requirements (e.g. capitalization, formatting, etc.) without us having our folks worry about any of that. We use https://transcriberai.com or https://otter.ai/ (there are a bunch) to create the first transcript for our transcriptionists. - Source: Hacker News / over 1 year ago
Some good transcription solutions: https://zapier.com/blog/best-text-dictation-software/#windowsspeech https://otter.ai/ (Haven't actually tried Otter, but it gets a LOT of good reviews.). - Source: Hacker News / about 2 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
Fireflies.ai - Record, transcribe and search your calls
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
Notta.ai - Automatically turn audio into editable, searchable and sharable text. Notta helps unleash the power of voice and brings your productivity to the next level.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.