Jenner Analytics

Write SAS. Run it locally.

Only for Mac

Free · In‑App Purchases

Mac

Know SAS but work on a Mac? Write DATA steps and PROC steps and run them natively — no Windows VM, no server, no account. Your data never leaves your machine. Jenner Analytics runs programs written in the SAS® language directly on your Mac — DATA steps and PROC steps, executed on your own machine. No server, no remote session, no account, no sign-in, and nothing uploaded. The code you already write, on the computer you already use, with your data staying where it is. No Windows virtual machine, no browser upload limit, no session that expires in the middle of an analysis. THE CODE YOU ALREADY WRITE DATA steps to read, shape, filter, and derive your data. PROC steps to run the procedure you need. Tables, listings, and charts render inline, directly under the code that produced them. Python runs in the same notebook, so you can drop in a plotting library or a few lines of glue without leaving the page. WHAT IT RUNS • Everyday procedures: MEANS, FREQ, UNIVARIATE, CORR, TTEST, REG, GLM, LOGISTIC, clustering, and charting. • Deeper work: econometrics, survival analysis, mixed models, multivariate methods, Bayesian analysis. • SAS7BDAT data sets, read and written natively, alongside CSV, delimited text, and Parquet — so a file a colleague sends you opens without a conversion step. • A procedure for AI that calls a model with your own API key (OpenAI, Anthropic, Google, or AWS Bedrock). It reaches the network only when you write that step yourself. ON YOUR OWN MACHINE Jenner opens files from your own folders, computes locally, and writes results back locally. There is no upload step, no file-size ceiling imposed by a browser, no session to keep alive, and nothing to configure before your first program runs. Apart from the optional AI procedure, which you invoke deliberately, the analysis runs with no network at all — on a plane, or on a locked-down laptop. PRIVACY No analytics, no telemetry, no advertising, no crash-reporting SDKs, and no background uploads. Any credential you enter, such as an AI provider key, is stored in the macOS Keychain. PRICING Free needs no account and opens the full procedure catalog at up to 100 rows per data set — enough to confirm your own programs parse, run, and produce the output you expect. Analyst raises that row cap for the everyday procedures. Ultimate raises it for the full catalog, including the deeper statistical and econometric work. Monthly or yearly, and both are Family Shareable. WHO IT IS FOR Statisticians, biostatisticians, epidemiologists, econometricians, clinical programmers, and students taking a SAS programming course — anyone trained in the SAS language who works on a Mac. If you have been keeping a Windows machine alive, renting a virtual desktop, or uploading data to a browser session just to run a DATA step, this is the alternative. It is also how you open a .sas7bdat file someone hands you. AN INDEPENDENT IMPLEMENTATION Jenner is an independent implementation of the SAS language. It is not the SAS System, it is not a client for that system, it does not connect to it, and it does not reproduce every behavior of it. SAS and all SAS-related terms are trademarks of SAS Institute Inc. Jenner is an independent product and is not affiliated with, endorsed by, or sponsored by SAS Institute Inc. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://jenneranalytics.com/privacy

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The app is a smaller download, launches faster after the first run, and holds up better during a long session. This release also picks up a month of analysis-engine work, and that part is not routine. Results, messages and printed output move closer to SAS. Some programs that ran clean in 1.0.0 now stop with an error, and some numbers change. Please re-run anything you rely on before trusting its output. THE APP - Jenner is hundreds of megabytes smaller to download and to keep on disk. - After the first launch, Jenner opens noticeably faster. The first launch after installing or updating takes slightly longer, once. - Exporting several notebooks to PDF at once is faster. - The file list settles sooner at startup and redraws less often while you work. - If Jenner's workspace shuts down unexpectedly and leaves a blank window, Jenner reloads it instead of leaving you to quit and start again. Notebooks come back from their last save, and Jenner tells you when that happens. - Export to PDF, Reveal in Finder and subscription checks no longer look stuck after a reload. PROGRAMS THAT RAN BEFORE MAY NOW STOP - A DATA step naming a format that cannot be resolved now stops with an error, as SAS does. NOFMTERR restores the old permissive behavior. - Combining data sets that disagree on whether a variable is text or numeric now stops the step instead of silently writing missing values. - PROC APPEND stops on a character-versus-numeric mismatch, or a longer incoming character variable, unless you use FORCE. - PROC SQL rejects BINARY and VARBINARY column types instead of quietly discarding the values, and refuses a function call written with no arguments. - Database, web-service and AI connections must now point outside your own machine and local network. A model server or database running locally worked before and no longer does. File-based and in-memory databases are unaffected. - Some ways of reaching files outside your workspace folder are now refused. - A clustering or distance analysis too large to build stops with an error instead of exhausting memory. Splitting the data with BY completes the work. RESULTS AND PRINTED OUTPUT - Classification variables now default to the last level as reference in several modeling procedures, and logistic models default to effect coding. Estimates for such models will differ from the previous release. - Corrected results where the computed value did not match SAS: listwise deletion in correlations; Type III sums of squares and multiple-comparison limits in general linear models; the Mantel-Haenszel chi-square and the phi coefficient in frequency tables; weighted percentiles, variance, skewness and kurtosis; weighted standard error, coefficient of variation and sums of squares; character functions in SQL. HMAC-SHA256 took its key and message in the wrong order and now produces the standard digest. - A period in a text column now counts as an ordinary value in frequency tables, so counts and percentages shift for data that uses it as a code. - Padded text compared against a number now matches, so some programs keep rows they used to drop. - Numeric output follows the SAS width rules, LEFT and PUT pad as SAS does, PROC PRINT numbers observations from the source data set, and the PROC CONTENTS output data set carries the columns SAS produces. - Table layout, headings and charts follow SAS more closely, and macro statements run in SAS's order across nested macros. - Reading data containing accented letters and other non-ASCII characters no longer fails the DATA step. REMOVED - PROC DS2 has been removed. It did not run in earlier versions either: a DS2 step reported the procedure unavailable and produced no data, and a program that called package methods from a later step finished but wrote values that were not correct. Those programs now stop with an error instead. Most DS2 programs map directly to a DATA step, with package methods written as PROC FCMP functions.

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    Seller
    • Jenner Analytics Ltd
    Size
    • 248 MB
    Category
    • Developer Tools
    Compatibility
    Requires macOS 14.0 or later.
    • Mac
      Requires macOS 14.0 or later.
    Languages
    • English
    Age Rating
    4+
    In-App Purchases
    Yes
    • Ultimate (annual) $299.00
    • Ultimate (monthly) $39.99
    • Analyst (annual) $199.00
    • Analyst (monthly) $19.99
    Copyright
    • © 2026 Jenner Analytics Ltd