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2. Category : Free data and information visualization software

   en.wikipedia.org/wiki/Category:Free_data_and...

   Free and open-source software portal; This is a category of articles relating to data visualization software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: "free software" or "open source software".

3. Category : Data and information visualization software

   en.wikipedia.org/wiki/Category:Data_and...

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Special pages; Help; Learn to edit; Community portal; Recent changes; Upload file

4. List of microscopy visualization systems - Wikipedia

   en.wikipedia.org/wiki/List_of_microscopy...

   This is a list of software systems that are used for visualizing microscopy data. For each software system, the table below indicates which type of data can be displayed: EM = Electron microscopy; MG = Molecular graphics; Optical = Optical microscopy.

5. List of molecular graphics systems - Wikipedia

   en.wikipedia.org/wiki/List_of_molecular_graphics...

   Download as PDF; Printable version; ... This is a list of notable software systems that are used for visualizing macromolecules. [1] ... cavity visualization, crystal ...

6. Drishti (client) - Wikipedia

   en.wikipedia.org/wiki/Drishti_(client)

   Drishti (from Sanskrit दृष्टि dr̥ṣţi, meaning "vision" or "insight") is a multi-platform, open-source volume-exploration and presentation tool. [1] Written for visualizing tomography data, electron-microscopy data and the like, it aims to ease understanding of data sets and to assist with conveying that understanding to the research community or to lay persons.

7. ParaView - Wikipedia

   en.wikipedia.org/wiki/ParaView

   ParaView is an open-source multiple-platform application for interactive, scientific visualization.It has a client–server architecture to facilitate remote visualization of datasets, and generates level of detail (LOD) models to maintain interactive frame rates for large datasets.