Software Alternatives, Accelerators & Startups

Recut VS Plotly

Compare Recut VS Plotly and see what are their differences

Recut logo Recut

Edit silence out of videos automatically

Plotly logo Plotly

Low-Code Data Apps
  • Recut Landing page
    Landing page //
    2023-05-01
  • Plotly Landing page
    Landing page //
    2023-07-31

Recut videos

The Coma Recut Nintendo Switch Review

More videos:

  • Review - Review: The Coma - Recut (PlayStation 4, Xbox One & Steam) - Defunct Games
  • Review - Frazier Park Recut- (2017 Found Footage) Spoiler Free Review

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Recut and Plotly)
Productivity
100 100%
0% 0
Data Visualization
0 0%
100% 100
Content Creators
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Recut and Plotly

Recut Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Plotly might be a bit more popular than Recut. We know about 30 links to it since March 2021 and only 29 links to Recut. 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.

Recut mentions (29)

  • Reviewing Footage Faster with Tools for Editing
    Unfortunately, I've been having a difficult time putting this into practice with Premiere Pro, with some of the current methods by which you can do this not working quite right- AE Script Silence Remover is clunky and often just doesn't want to work; ReCut actually seems rather promising, if I could get it to work as intended; and I can't be made to care about TimeBolt or AutoCut because of their expensive... Source: about 1 year ago
  • Anything like autopod.fm for DaVinci? AI multicam/silence cut/jump cut
    I use Recut https://getrecut.com/ to trim silence automatically. Then export XML and import into DR as timeline. It's not an alternative to AutoPod, but works really well for what it is. Source: about 1 year ago
  • The Tauri Mobile Alpha Release
    I’ve enjoyed working with Tauri a lot, and I’m excited to check out the mobile release. I’ve been using it for about a year now, paired with Svelte, to build a video editor [0] and it’s been really nice speed-wise. I haven’t felt like Tauri is the bottleneck in probably 99% of cases (usually it ends up being my own code!). One area they could improve, and I think they’re working on for 2.0, is the IPC mechanism... - Source: Hacker News / over 1 year ago
  • The Guide to FFmpeg
    Late 2020 I had the same thought, I was making screencasts and hated doing all the cutting to turn my 45 minutes of mistakes into a 3 minute video. So I made a similar script in Node, where it used ffmpeg’s silencedetect and instead of outputting a new video, it saved an EDL file that I could import into an editor like DaVinci Resolve, and then I could fine tune the edits. As soon as that worked I wanted more -... - Source: Hacker News / over 1 year ago
  • Ask HN: Any good black Friday deals?
    I'm doing a 50% off sale for my app Recut, https://getrecut.com It's a simplified video editor that removes pauses and dead air, and creates a cut list you can then import into a "real" editor. Saves a bunch of time if you're doing talking-head videos, vlogging, podcasts, screencasts... The sorts of content where the first step of editing is to chop out the long pauses and mistakes. I originally built it because I... - Source: Hacker News / over 1 year ago
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Plotly mentions (30)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 22 days ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago
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What are some alternatives?

When comparing Recut and Plotly, you can also consider the following products

Cardapio - Cardapio is an application menu that can work in two modes: as a panel applet (in which case it is...

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Streamlit - Turn python scripts into beautiful ML tools

Chart.js - Easy, object oriented client side graphs for designers and developers.

Deck for Reddit - A desktop optimized, alternative way of browsing Reddit.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application