g3data Alternatives
g3data
g3data is used for extracting data from graphs. In publications graphs often are included, but the actual data is missing. g3data makes the extracting process much easier.
Best g3data Alternatives
Looking for the best programs similar to g3data? We reviewed our top picks below. Let's see if there are any g3data alternatives that work on your platform.
Engauge Digitizer
FreeOpen SourceWindowsLinuxThis open source, digitizing software converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot....
Features:
- OCR
- Screenshot Tools
WebPlotDigitizer
FreeOpen SourceWebA large quantity of published data is available only in the form of plots and it is often difficult to extract numerical data accurately out of these pictures. There are...
Plot Digitizer
FreeOpen SourceMacWindowsLinuxPlot Digitizer is a Java program used to digitize scanned plots of functional data. Often data is found presented in reports and references as functional X-Y type...
DigitizeIt
CommercialMacWindowsLinuxSometimes it is necessary to extract data values from graphs, e.g. in most scientific publications only plots but no data values are published. DigitizeIt makes it easy...
Features:
- Charts
- Graphs
GraphClick
CommercialMacGraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime...
Features:
- Charts
- Education
- Graphs
- Symbols
im2graph
FreeWindowsLinuxim2graph is a free digitizing software that converts graph-images to graph-data, that is to numbers. With behind the scenes fast and efficient image processing...
Features:
- Charts
- Graphs
- Screenshot Tools
jTechDig
FreeOpen SourceMacWindowsLinuxSoftware tool written in Java for digitizing data from an image of graph or plot.
UN-SCAN-IT
CommercialMacWindowsDigitizing Software converts graph image files to usable (x,y) data automatically.
Find Graph
CommercialWindowsTake any graph or data from any source (Web or PDF document, for example), add your comments, and perform any manipulations, like nonlinear regression or curve fitting....
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