OTforge - Browse /points2grid/1.0.2 at SourceForge.net

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
RELEASE_NOTES	2012-09-10	1.8 kB	0
LICENSE	2012-09-10	1.7 kB	0
Totals: 2 Items		3.6 kB	0

Other Useful Business Software

Auth for GenAI | Auth0

Enable AI agents to securely access tools, workflows, and data with fine-grained control and just a few lines of code.

Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview

Try free now

Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.

Start Free

Recommended Projects

FUSION/LDV
Software for analyzing and visualizing LIDAR data.
MCC-LIDAR
Multiscale Curvature Classification for LIDAR Data
SAGA GIS
SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments (shell scripts, Python, R, ...). Please provide the following reference in your work if you are using SAGA: Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Boehner, J. (2015): System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geosci. Model Dev., 8, 1991-2007, https://doi.org/10.5194/gmd-8-1991-2015. For more information visit the project homepage and the wiki.
kallisto
Near-optimal RNA-Seq quantification

OTforge Files

Get an email when there's a new version of OTforge