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Save hundreds of developer hours with components built for SaaS applications.
The #1 Embedded Analytics Solution for SaaS Teams.
Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
General purpose DataBase application for Linux 64bit.
... multi-page data cards where you can enter text, numbers, calculations, images (jpg , png, bmp etc), and dates as data fields. The data card is the basic element of organization!
Ιt supports English and Greek languages.
Enjoy...!!
Fanis Attard
Metaboflux is a generic approach for predicting flux distribution in metabolic networks under multiple and various constraints deducted from the experiments, to increase the biological relevance of the model.
Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...
Cpulimit2's purpose is to extend the functionality of cpulimit. It is a multi-process cpu usage limiter that has the ability to run in daemon-like mode to actively search for processes to limit that match user-given criteria.
Cryptocurrency investors or accountants looking for a tax solution
Make tax reporting easy, reliable and accurate with Koinly. Simply connect your exchange accounts / public addresses and let Koinly calculate your capital gains, then generate a tax report for next year. Your final report is accepted by your tax agency and easy to print & file.
Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.