Software Alternatives, Accelerators & Startups

Gensim VS Transistor.fm

Compare Gensim VS Transistor.fm and see what are their differences

Gensim logo Gensim

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.

Transistor.fm logo Transistor.fm

Podcast hosting and analytics for creatives: start unlimited shows πŸŽ™οΈ
  • Gensim Landing page
    Landing page //
    2023-01-23
  • Transistor.fm Landing page
    Landing page //
    2023-03-06

Your podcast's publishing platform! Record your audio and upload it to Transistor. Transistor also helps you distribute your podcast to Apple Podcasts, Spotify, and Google Podcasts.

Customers say: β€œThe best podcast hosting tool I've used!" They gave us a β˜…β˜…β˜…β˜…β˜… rating on Product Hunt.

Also available: private podcasting for organizations, companies, and private memberships.

Beginner? Check out "How to start a podcast" to find the best microphones, audio editing software, and learn the whole process.

Transistor.fm

$ Details
paid Free Trial $19.0 / Monthly (Unlimited podcasts / Advanced Analytics / 20,000 Downloads/m)
Platforms
Browser
Release Date
2019 August

Gensim features and specs

No features have been listed yet.

Transistor.fm features and specs

  • Create unlimited podcasts: Yes
  • Create private podcasts: Yes
  • Live Chat Support: Yes
  • Advanced podcast sanalytics: Yes
  • Dynamic ad insertion: Yes
  • Dynamic show notes: Yes
  • Team Management: Yes
  • Website Builder: Yes

Gensim videos

Word2Vec with Gensim - Python

More videos:

  • Review - Bhargav Srinivasa Desikan - Topic Modelling (and more) with NLP framework Gensim
  • Tutorial - How to Generate Custom Word Vectors in Gensim (Named Entity Recognition for DH 07)

Transistor.fm videos

How to start a podcast in 2022

More videos:

  • Review - Transistor.fm Best Podcast Hosting Review
  • Review - "Why I chose Transistor for my podcast"

Category Popularity

0-100% (relative to Gensim and Transistor.fm)
Natural Language Processing
Podcast Tools
0 0%
100% 100
Spreadsheets
100 100%
0% 0
Podcast Hosting
0 0%
100% 100

User comments

Share your experience with using Gensim and Transistor.fm. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Transistor.fm should be more popular than Gensim. It has been mentiond 23 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.

Gensim mentions (9)

  • Understanding How Dynamic node2vec Works on Streaming Data
    This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. 🀝. - Source: dev.to / over 1 year ago
  • Is it home bias or is data wrangling for machine learning in python much less intuitive and much more burdensome than in R?
    Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling. Source: almost 2 years ago
  • GET STARTED WITH TOPIC MODELLING USING GENSIM IN NLP
    Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;. - Source: dev.to / about 2 years ago
  • [Research] Text summarization using Python, that can run on Android devices?
    TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: over 2 years ago
  • Topic modelling with Gensim and SpaCy on startup news
    For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use. - Source: dev.to / over 2 years ago
View more

Transistor.fm mentions (23)

  • creating a nice sponsors page on Transistor.fm
    The transistor.fm/ website builder allows you to add extra pages (such as a sponsors page) using HTML. However, I've got no clue how to do this. Source: about 1 year ago
  • Best service to host a podcast?
    Https://transistor.fm/ because the price is reasonable, and it has every feature I was looking for (shared access, website, integrations, publishing everywhere,...). Source: over 1 year ago
  • I think we need simpler end-to-end tools. Anybody else had this issue?
    Transistor.fm does the hosting and site, can't record or helps with marketing. Source: over 1 year ago
  • File format for uploading
    I've seen a few posts about this but they're a few years old, and I wasn't sure if things may have changed. I know that data caps etc matter less these days with larger data plans. That said, I'd love some advice. The service I'm going for, transistor.fm, recommends MP3. They also recommend a max file size of 200MB. Both in mono, an MP3 version of my first episode is 38.5MB. A .WAV episode is 318MB. Is it... Source: over 1 year ago
  • Sorry Anchor! What host do you use?
    Hands down, transistor.fm. A great product. And even a greater team. Constantly innovating with new features. Source: over 1 year ago
View more

What are some alternatives?

When comparing Gensim and Transistor.fm, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Anchor.fm - Record bite-sized podcasts that anyone can join βš“

FastText - Library for efficient text classification and representation learning

Buzzsprout - Buzzsprout is a leading Podcast platform that allows you to enjoy, host, promote and track your own podcast.

rasa NLU - A set of high level APIs for building your own language parser

Podbean - A better way to discover and play all your favorite podcasts anywhere, anytime.