Ask away in our user forums.
If you cancel your subscription within 30 days of signing up you won't pay anything. If you cancel after 30 days have passed we will stop billing you for future months. We don't prorate or issue refunds.
Of course! Click on "settings" when you are signed in and go from there.
No. You may cancel your subscription in any given month and we will not bill you for future months.
We currently support subscriptions via PayPal. PayPal accepts all major credit cards. We only accept payments online, so we cannot accept P.O.'s, invoice customers, or take orders via phone.
Monkey Analytics is a modern web interface to math computation software packages.
The interface is built using Django (thanks Django team!) and runs on Amazon's EC2 and S3 services (thanks Amazon team!)
The computation software runs on Amazon servers. Our service controls computation software packages, allowing us to efficiently share them among many users and scale to meet dynamic demand.
Our Matlab compatible software package is based on GNU Octave, an open source software package.
Our Python computation software package includes SciPy and matplotlib, both open source software packages.
Our R Project computation software package is also open source software.
Our Matlab compatibility is limited to that of the underlying software - Octave. Here's what that team has to say about their Matlab compatibility.
Yes (eventually) but for now we'll need to install these for you. Contact us and we'll install your favorite package for you - and others - to use as part of our base system.
Longer answer - package installation often requires root access, and installs binary code on our servers - a bit scary. We have a security architecture to allow this to happen safely, but we are still developing it.
Of course! Download session ".mat" files from the info screen. Similarly you can download figures, files, and scripts from the "More actions" menu.
Of course! Upload session ".mat" files when you create new sessions. Upload existing scripts using the create script feature. Upload small to medium size data files using our upload data feature.
Note that larger (multiple MB's) data files will need special treatment - contact us and we can suck your files into our system using ftp or scp with reasonable turnaround times. Better solutions to come with time, but this works for now!
We are running on Amazon EC2 small compute instances - leaving somewhere around 1.7GB of RAM free for computations.
If you need more let us know - we can tailor individual subscriptions to use larger EC2 instances, accessing up to 15GB of RAM per running session.
(Note that we are working on a general implementation of high cpu / memory instances in our subscription package. Stay tuned!)
Absolutely! We have architected our product to easily control other computation software - we launched with Octave and Python sessions, and recently added support for The R Project sessions.
What else would you like to see us support? Let us know!
Not yet, but "coming real soon now" :-). Step 1 will be to tweak our web app to work on smaller resolution displays (we were focused on launching up until, um, a few weeks ago). Step (2) are full featured iPhone / Android apps if there is enough interest.
We plan to contribute some portion of our profits (once there are any!) to further the development of the many open source software packages we depend upon, particularly the computation engines as they are more niche focused and therefore more in need of support.
We are grateful to the many shoulders we stand upon - from the foundations of our linux servers to the superstructure of MySQL, Django, Octave, and more.
This is a tough question. We are strong OSS believers - using Linux since 1996, and using OSS products everywhere in our lives. But we are also a startup and are not yet profitable, and literally are betting our incomes and houses on this product.
We think for the time being we will not, but this may change in the future. (If enough of you support us with subscriptions the decision may get easier!)
We are electrical and computer engineers who spent much of our early careers doing software development and algorithm development and testing using Matlab, PV Wave, and other computation packages.
We recognized that it was not a good use of a company's time to be managing the many servers required to run these kinds of computations, nor were the commercial tools themselves improving with the changing times.
And even in the simplest use case of a lone engineer running Matlab on their desktop, when real computation is happening you can't even use Microsoft tools or browse the web!
The launch of Amazon S3 and EC2 means that we can build and run this tool in the cloud, and deliver a better service to users than their existing experience on their desktops. We can save customers and companies money, and free their desktops for more productive work while we perform their computations in the cloud.
We hope you love this as much as we do!
Contact us for a response.