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About

Velt is a full-stack collaboration SDK that enables developers to embed rich, real-time, and asynchronous collaboration features into web applications with minimal effort. With Velt, you can add contextual comments (à la Figma or Google Docs), live presence indicators, shared editing, “follow me” view modes, and Slack/Meet-style huddles (audio, video, screen sharing). Velt also offers built-in Loom-style recording (screen, camera, or audio), complete with AI-powered transcription and auto-summaries, so users can leave video or voice feedback and later search or scrub to relevant bits. Additional collaboration tools include in-app notifications, mentions, reactions, arrows/highlights for annotation, analytics dashboards for tracking engagement, and flexible UI components you can style to match your app’s branding. It handles all the complexity, real-time syncing, conflict resolution (via CRDTs), offline handling, scaling, and optional self-hosting.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, product teams, and SaaS builders wanting a tool to add powerful, production-ready collaboration to their applications without building complex infrastructure from scratch

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Velt
Founded: 2020
United States
velt.dev/

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

Loom

Loom

Atlassian

Alternatives

kondeor.ai

kondeor.ai

Kondeor

Categories

Categories

Integrations

Azure Blob Storage
ClassWallet
Close
Discord
Google Cloud Platform
Google Cloud Storage
Google Docs
Google Sheets
Inngest
Lexical
Loops
Microsoft Excel
Miro
OpenTelemetry
Pendo
Qloo
React
Tiptap
Varonis Data Security Platform
Windmill

Integrations

Azure Blob Storage
ClassWallet
Close
Discord
Google Cloud Platform
Google Cloud Storage
Google Docs
Google Sheets
Inngest
Lexical
Loops
Microsoft Excel
Miro
OpenTelemetry
Pendo
Qloo
React
Tiptap
Varonis Data Security Platform
Windmill
Claim Velt and update features and information
Claim Velt and update features and information
Claim statsmodels and update features and information
Claim statsmodels and update features and information