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What is PyMOL?

PyMOL is a molecular visualization software that operates as a user-supported open-source project, with its management and distribution handled by Schrödinger. The transition to the PyQt interface has replaced Tcl/Tk and MacPyMOL across all systems, which has greatly improved the overall user experience. This platform provides enhanced compatibility for third-party plugins and custom scripting, establishing it as a robust tool for visualizing and animating three-dimensional molecular structures. Additionally, a plug-in enables users to seamlessly integrate 3D images and animations into PowerPoint presentations, facilitating better communication of scientific concepts. While PyMOL is commercially licensed, a significant portion of its source code is available for free under a permissive license, supporting its open-source nature. This initiative is primarily funded by the sales of PyMOL licenses, with Schrödinger playing a key role in its sustainability. Users enjoy the advantages of open access to executables and a flexible evaluation system, allowing them to explore the software's capabilities thoroughly. Recent updates have introduced an improved fuse command that eliminates hypervalent bonds, substituting them with monovalent atoms, and a new properties inspector that allows settings to be unset using the “delete” key for greater user control. Moreover, the resolution issues that previously caused the workspace to disappear have been addressed, enhancing the overall user experience significantly. As a result, users can now work more effectively, enjoying a more polished and reliable interface.

What is DIA?

DIA (Decentralised Information Asset) is an open-source oracle system designed to gather, distribute, and share trustworthy data among participants in the market. In the realm of decentralized finance (DeFi), having access to reliable and scalable data feeds is vital for the creation of robust products and for safeguarding against possible exploitation and manipulation. DIA employs crypto-economic incentives alongside community feedback to effectively gather, verify, and transmit credible financial information. Participants who assist in data sourcing and validation are rewarded with bounties paid in DIA tokens, encouraging active involvement. All data is collected from primary sources and sent to DIA's servers, where it is secured by hashing the database on-chain. Moreover, comprehensive scraper code and documentation are readily available on GitHub for public access. Users can retrieve this data via API endpoints or Oracles, which allows various entities like lending platforms, index providers, and prediction markets to utilize DIA’s open-source and validated data streams without any costs. This collaborative methodology not only improves data integrity but also promotes innovation and advancement within the DeFi landscape. Ultimately, DIA aims to create a more transparent and reliable financial ecosystem for all participants.

Media

Media

Integrations Supported

Laby
Microsoft PowerPoint
Moonbeam
Moonriver
Python
Zeroswap

Integrations Supported

Laby
Microsoft PowerPoint
Moonbeam
Moonriver
Python
Zeroswap

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PyMOL

Company Location

Germany

Company Website

pymol.org/2/

Company Facts

Organization Name

DIA Association

Date Founded

2018

Company Location

Switzerland

Company Website

diadata.org

Categories and Features

Categories and Features

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