Graph Paper Software For Mac

Use the link below to download Graph. Graph is open source and distributed under the GNU General Public License (GPL), which means that you may use it freely and give it to whomever you like. SetupGraph-4.4.2.exe (9.6 MB) Older versions and the source code for Graph is available from SourceForge. There is Graphviz. It can be tedious at times, but it's very flexible.

Are you in quest of a graph software? It could be you need one for your mathematical functions. Well, the tech market these days is stuffed with many such software programs but how to spot the best one for you.


We have come up here with a grand list of best graph software programs that assure best graph functionality in just a few clicks. Read on.

Prism 7

This is one of the most advanced graph software which helps you in making a wide number of graphs & statistical analysis, much more compared to the previous versions. You will also have more flexibility in organizing data. The good thing is that the software is really easy to use.


The best thing about the software is that it comes up with as many as 100+ in-built graph types that make it a really breezy to create & customize premium publication-quality graphs. With the software, it’s just a snap to add on the additional axes & also multi layers or panels to the graph page. Batch plotting is available as well.


You are getting powerful scientific plotting & graphing package here. The software is equipped to help with publication-ready PDF or Postcript output. The program creates plots by building the plotting widgets by its object-based consistent interface and supports a wide range of plotting features, like- X-Y plots, contour plots, line & function plots etc.


You are getting a brilliant data analysis & plotting software here that can plot several data points, up to millions. You will get full-plot customization here in 1-click labeling. The software will permit you to easily create customized text blocks, full-featured with proper text formatting and you would even be able to highlight events with customized data pointers.


The list would stay incomplete without the mention of BrightStat software which is another highly recommended graph software today. It is able to perform various statistical works, super quick computations and would help you with high quality interactive graphs. Parametric tests, data visualization & data manipulation are other aspects of the software.

R Graph Gallery

R Graph Gallery is like the paradise for you if you are looking for readymade graphs. Here you will find a versatile range of high quality plots along with associated code for your convenience. The R Graph website promises graphs in almost every kind of theme, be it 3D or histograms or boxplot & barplot etc.


Grace is your powerful 2D plotting WYSIWYG tool which helps you with real publication-quality graphs with its easy point & click GUI. It assures immediate plot refresh and you will also have precise control on graph features with the tool. The software has further assured unlimited graphs with unlimited curves.

Graph Software for Various Platforms

You should know that there is a huge range of graph software applications for various platforms. The one you plan to go for must be compatible with your system’s OS. Not every such software programs are meant for all operating systems as there are some software applications that only work for specific OS.

Free Windows Graph Software – Graph

If you are in search free Windows graph software, Graph would be a good name any day. The software helps to draw graphs easily for the mathematical functions & you can add on several color & line styles with the graphs here. The software supports standard, parameter & polar functions.

Free Android Graph Software – 3D Charts

If you are in search of free Android graph software, 3D Charts would be a great option here.The software is known to create good-looking charts within seconds on the basis of your specific data. It helps with mainly 3 types of charts- watermarked charts, percentage charts & polar/radar charts.

Free Mac Graph Software – Plotly

When it comes to quality free Mac graph software, you can go for Plot easily. The software is a scientifically advanced 2D plotting software that is meant to help with your everyday plotting. The software is known to allow powerful & easy manipulations & data calculations. It works with several documents with one or multiple XY datasets and you can also add subviews to the documents with the tool.

Most Popular Graph Software for 2016 – SmartDraw

When it comes to making pro-like charts & graphs easily, SmartDraw is the name for you. you would just need to enter your specific data & apply the custom-designed themes, and the software will do the entire thing for you. It allows you to export charts & graphs to Excel, Word, PDF or PPT with just a click.

When it comes to most popular graph software for 2016, mention may be made of SmartDraw as it assures high-quality professional charts & graphs for your presentations easily. There are hundreds of expert-designed templates to go for and the software is also renowned for its auto chart formatting feature.

What is a Graph Software?

A graph software, quite simply, is a program designed to draw graphs for mathematical functions. The leading graph programs support all the needed standard, parameter as well as polar functions. You can add in different colors & line styles with the graphs created through these software programs. Basically, the graphing software applications come up with a number of inbuilt graph templates.

These templates can be customized easily with your typical mathematical graph data. You can create various types of graphs here such as bar graphs, histograms, and even 3D graphs. Some of the graphing software programs even help to create charts.

How to Install Graph Software

To install graph software, follow the download link of your chosen software & download it. However, do not forget to check beforehand whether the selected software matches your system’s OS or not. After you download the software, you will have the installation link followed by the needed instructions on installing the software.

Benefits of Graph Software

The graphing software is really beneficial for math students, teachers, and engineers. Then, these programs would also be useful for anybody who has to make presentation charts or graphs for company presentations. As these plotting software programs come up with readymade graph templates, you are not needed to start off with the entire thing from the scratch.

Some of the software programs even come up with graph templates in various themes so that you can easily choose as per your specific need. All in all, such software programs support a wide range of plotting features, like- X-Y plots, contour plots, line & function plots etc. and make plotting easier.

When you are looking to get a graph software make sure it is able to help you with real publication-quality graphs. Using these software applications is no hassle as most of them carry a user-friendly interface for user convenience. Professional graphs & charts are always easy when you have these software programs.

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The preferred analysis and graphing solution purpose-built for scientific research. Join the world’s leading scientists and discover how you can use Prism to save time, make more appropriate analysis choices, and elegantly graph and present your scientific research. Crack windows 10 para mac.

Comprehensive Analysis and Powerful Statistics, Simplified

Organize Your Data Effectively

Unlike spreadsheets or other scientific graphing programs, Prism has eight different types of data tables specifically formatted for the analyses you want to run. This makes it easier to enter data correctly, choose suitable analyses, and create stunning graphs.

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Perform The Right Analysis

Avoid statistical jargon. In clear language, Prism presents an extensive library of analyses from common to highly specific—nonlinear regression, t tests, nonparametric comparisons, one-, two- and three-way ANOVA, analysis of contingency tables, survival analysis, and much more. Each analysis has a checklist to help you understand the required statistical assumptions and confirm you have selected an appropriate test.

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Get Actionable Help As You Go

Reduce the complexity of statistics. Prism’s online help goes beyond your expectations. At almost every step, access thousands of pages from the online Prism Guides. Browse the Graph Portfolio and learn how to make a wide range of graph types. Tutorial data sets also help you understand why you should perform certain analyses and how to interpret your results.

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Work Smarter, Not Harder

One-Click Regression Analysis

No other program simplifies curve fitting like Prism. Select an equation and Prism does the rest—fits the curve, displays a table of results and function parameters, draws the curve on the graph, and interpolates unknown values.

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Focus on Your Research, Not Your Software

No coding required. Graphs and results are automatically updated in real time. Any changes to the data and analyses—adding missed data, omitting erroneous data, correcting typos, or changing analysis choices—are reflected in results, graphs, and layouts instantaneously.

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Automate Your Work Without Programming

Reduce tedious steps to analyze and graph a set of experiments. It is easy to replicate your work by creating a template, duplicating a family, or cloning a graph—saving you hours of set up time. Apply a consistent look to a set of graphs with one click using Prism Magic.

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The Fastest Way to Elegantly Graph and Share Your Work

Countless Ways to Customize Your Graphs

Focus on the story in your data, not manipulating your software. Prism makes it easy to create the graphs you want. Choose the type of graph, and customize any part—how the data is arranged, the style of your data points, labels, fonts, colors, and much more. The customization options are endless.

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Export Publication-Quality Graphs With One Click

Reduce time to publish. Prism allows you to customize your exports (file type, resolution, transparency, dimensions, color space RGB/CMYK) to meet the requirements of journals. Set your defaults to save time.

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Enhance Collaboration

Share more than your graphs. Prism’s comprehensive record of your data enables effective collaboration with other scientists. All parts of your Prism project (raw data, analyses, results, graphs, and layouts) are contained in a single file that you can share with one click. Now others can easily follow your work at every step, enhancing the clarity of your findings and streamlining your collaborative efforts.

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Discover What’s New in Prism 8!

Introducing an even more powerful Prism featuring enhanced data visualization and graph customization, more intuitive navigation, and more sophisticated statistical analyses.

Enhanced Data Visualization

Violin plots

Visualize distributions of large data sets more clearly than with box-whisker or simple bar graphs

Subcolumn graphs

Organize related subsets of nested data in a single graph

Smoothing spline

Major improvements in showing general data trends through Akima splines and smoothing splines with improved control over the number of knots, or inflection points

No more smiles

More intelligent adjustments of data point positions in scatter plots for better looking graphs

Improved Graphing and Customization Options

Draw lines and brackets with centered text

Easily annotate your data with asterisks or custom labels

Automatically label bar graphs

Annotate your bar graphs with values for the means, medians, or sample sizes to emphasize what's important in your work

Improved grouped graphs

Easily create graphs that show both individual points (scatter) along with bars for mean (or median) and error bars

More Intuitive Navigation

Find related sheets easily

New family panel shows the family of sheets related to the current sheet, and chains of analyses are automatically indented

Easily navigate between multiple results tables

Analyses with multiple results tables now grouped into a single sheet with tabs for each result table; choose which tabs to show or hide

Improved Search

Search by sheets with highlights or notes of specified color

Now Featuring Eight Kinds of Data Tables

New: Multiple variables data table

Each row represents a different subject and each column is a different variable, allowing you to perform Multiple linear regression (including Poisson regression), extract subsets of data into other table types, or select and transform subsets of the data

New: Nested data table

Analyze and visualize data that contains subsets within related groups; Perform nested t tests and nested one-way ANOVA using data within these tables

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More Sophisticated Statistical Analyses

Perform repeated measures ANOVA – even with missing data

Now Prism will automatically fit a mixed effects model to complete this analysis

Powerful Improvements in regular ANOVA

View cell, row, column, and grand means (or least square means when data is missing); test for homogeneity of variance. For one-way ANOVA, choose a test that does not assume homogeneous variances.

Perform simple and multiple logistic regression

Fit a model to a binary outcome (yes/no, win/lose, pass/fail) based on one predictor variable (simple logistic regression) or many predictor variables (multiple logistic regression).

Nested t test and nested one-way ANOVA

Utilize new types of data tables to perform nested t-tests and nested ANOVA as well as multiple linear regression (including Poisson regression)

Graph residuals from multiple types of analyses

Test residuals for normality in four different ways, and choose from four different ways to display these residuals

No credit card required.

Discover the Breadth of Statistical Features Available in Prism 8

Statistical Comparisons

  • Paired or unpaired t tests. Reports P values and confidence intervals.
  • Automatically generate volcano plot (difference vs. P value) from multiple t test analysis.
  • Nonparametric Mann-Whitney test, including confidence interval of difference of medians.
  • Kolmogorov-Smirnov test to compare two groups.
  • Wilcoxon test with confidence interval of median.
  • Perform many t tests at once, using False Discovery Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further.
  • Ordinary or repeated measures ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s Least Significant tests.
  • One-way ANOVA without assuming populations with equal standard deviations using Brown-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3)
  • Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.
  • Greenhouse-Geisser correction so repeated measures one-, two-, and three-way ANOVA do not have to assume sphericity. When this is chosen, multiple comparison tests also do not assume sphericity.
  • Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn's post test.
  • Fisher's exact test or the chi-square test. Calculate the relative risk and odds ratio with confidence intervals.
  • Two-way ANOVA, even with missing values with some post tests.
  • Two-way ANOVA, with repeated measures in one or both factors. Tukey, Newman-Keuls, Dunnett, Bonferroni, Holm-Sidak, or Fisher’s LSD multiple comparisons testing main and simple effects.
  • Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).
  • Analysis of repeated measures data (one-, two-, and three-way) using a mixed effects model (similar to repeated measures ANOVA, but capable of handling missing data).
  • Kaplan-Meier survival analysis. Compare curves with the log-rank test (including test for trend).
  • Comparison of data from nested data tables using nested t test or nested one-way ANOVA (using mixed effects model).

Nonlinear Regression

  • Fit one of our 105 built-in equations, or enter your own. Now including family of growth equations: exponential growth, exponential plateau, Gompertz, logistic, and beta (growth and then decay).
  • Enter differential or implicit equations.
  • Enter different equations for different data sets.
  • Global nonlinear regression – share parameters between data sets.
  • Robust nonlinear regression.
  • Automatic outlier identification or elimination.
  • Compare models using extra sum-of-squares F test or AICc.
  • Compare parameters between data sets.
  • Apply constraints.
  • Differentially weight points by several methods and assess how well your weighting method worked.
  • Accept automatic initial estimated values or enter your own.
  • Automatically graph curve over specified range of X values.
  • Quantify precision of fits with SE or CI of parameters. Confidence intervals can be symmetrical (as is traditional) or asymmetrical (which is more accurate).
  • Quantify symmetry of imprecision with Hougaard’s skewness.
  • Plot confidence or prediction bands.
  • Test normality of residuals.
  • Runs or replicates test of adequacy of model.
  • Report the covariance matrix or set of dependencies.
  • Easily interpolate points from the best fit curve.
  • Fit straight lines to two data sets and determine the intersection point and both slopes.

Column Statistics

  • Calculate descriptive statistics: min, max, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis.
  • Mean or geometric mean with confidence intervals.
  • Frequency distributions (bin to histogram), including cumulative histograms.
  • Normality testing by four methods (new: Anderson-Darling).
  • Lognormality test and likelihood of sampling from normal (Gaussian) vs. lognormal distribution.
  • Create QQ Plot as part of normality testing.
  • One sample t test or Wilcoxon test to compare the column mean (or median) with a theoretical value.
  • Identify outliers using Grubbs or ROUT method.
  • Analyze a stack of P values, using Bonferroni multiple comparisons or the FDR approach to identify 'significant' findings or discoveries.

Simple Linear Regression and Correlation

  • Calculate slope and intercept with confidence intervals.
  • Force the regression line through a specified point.
  • Fit to replicate Y values or mean Y.
  • Test for departure from linearity with a runs test.
  • Calculate and graph residuals in four different ways (including QQ plot).
  • Compare slopes and intercepts of two or more regression lines.
  • Interpolate new points along the standard curve.
  • Pearson or Spearman (nonparametric) correlation.

Generalized Linear Models (GLMs)

  • Generate models relating multiple independent variables to a single dependent variable using the new multiple variables data table.
  • Multiple linear regression (when Y is continuous).
  • Poisson regression (when Y is counts; 0, 1, 2, …).
  • Logistic regression (when Y is binary; yes/no, pass/fail, etc.).

Clinical (Diagnostic) Lab Statistics

  • Bland-Altman plots.
  • Receiver operator characteristic (ROC) curves.
  • Deming regression (type ll linear regression).


  • Simulate XY, Column or Contingency tables.
  • Repeat analyses of simulated data as a Monte-Carlo analysis.
  • Plot functions from equations you select or enter and parameter values you choose.

Other Calculations

  • Area under the curve, with confidence interval.
  • Transform data.
  • Normalize.
  • Identify outliers.
  • Normality tests.
  • Transpose tables.
  • Subtract baseline (and combine columns).
  • Compute each value as a fraction of its row, column or grand total.

Prism is available on Mac and Windows.