Download Mac OS X Version
Download Windows 64bit Version
Download Windows 32bit Version
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Use these pdf tutorials for a quick introduction after installing QuantCell ...
The video demos below will be more helpful to understand some of the advanced features available in QuantCell.
These 7 short product videos cover some of the more advanced features found in QuantCell ...
Apache Spark, Impala, Java 8, d3js and Google Charts
Python in QuantCell
Big Data: MapReduce on CDH4 and Impala (Silent)
Clojure and Scala in QuantCell
R in QuantCell
Groovy in QuantCell
Still have questions or need help. Send us a message and we will get back to you.
A Terabyte of Algorithms
One-click access to over a terabyte of algorithms and solutions available directly from the QuantCell spreadsheet interface.
The technology is facilitated by integrating Ivy support into the spreadsheet. It presents a huge opportunity for the domain expert to unlock access to knowledge, algorithms, methods and code locked away in cryptic APIs, currently only useful to skilled programmers. It allows the none-developer to benefit from the approximately $1 trillion in capital investment in algorithms, methods & code available as open source.
Hadoop and Big Data
Native Hadoop and MapReduce available directly from the QuantCell spreadsheet.
By taking advantage of specific deployment paths, QuantCell users can now interactively work with Hadoop from QuantCell. A user can run algorithms on Hadoop clusters, without attaching anything special from QuantCell to support the big data analytics process.
QuantCell has released enhancements enabling analysts to enter SQL directly into the spreadsheet cells.
The technology allows users to access any JDBC compliant database technology as if it were an integrated part of the QuantCell client. Work is ongoing integrating other languages such as Scala and R into QuantCell.
Formula completion wizard available for open source code snippets.
QuantCell has released a new version of the integrated auto-compete wizard. This is a first version of a public recommendation engine and auto-complete functionality that will support the non-developer when creating advanced analytics in the QuantCell client.
Version 1.3 released
On August 10th, 2013 QuantCell released version 1.3 as a part of its limited public beta program.
Support for Python, Groovy and R Scripting Released
Version 1.3.1116, released today, introduces Python
in QuantCell using the Jython JVM scripting
engine as well as support for Groovy and an early
beta version of the Renjin scripting engine for R.
We are excited to be able to allow our users to
benefit from these great technologies and
ecosystems. R, Python and Groovy usage demos
are available from the QuantCell's product page.
QuantCell Beta 1.4.0131, released today,
improves support for scripting and visualization.
QuantCell now supports HTML documents as
code for calculations and data processing as well
as Scala and Clojure scripting.
Download the new version 1.4 from QuantCell.com.
Beta 1.4: Java 8, Apache Spark, Cloudera Certified
QuantCell v. 1.4.0810, released today,
is supported by Java 8 and is Cloudera
certified for use with C5 clusters.
QuantCell users can now use Java 8 Lambda
expressions and take advantage of other Java 8
features. The client is Cloudera certified and users
can take advantage of Spark running on Yarn
Download version 1.4.0810 from QuantCell.com.
Mar. 8th, 2013
Jan. 29th, 2014
QuantCell is supported by Rannís and principally by individual investors.
QuantCell Research was founded by Agust Egilsson, Ph.D., Kris Thorleifsson and Bjorn Jonsson. Agust is the architect, lead developer and technology evangelist behind the QuantCell environment and Kris is an experienced product manager and marketing professional formerly at Sun Microsystems. Prototypes of QuantCell were build and used by Agust during his roles as an investment banker, quant and in academia to build trading strategies and perform analytics. Bjorn has a masters degree in software engineering. He has ten years experience of software development and is an expert in machine learning, artificial intelligence and big-data.