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...Umami is hosted by you under your own domain so you can reliably avoid ad-blockers unlike Google Analytics. The tracking script is tiny (only 2KB) and supports legacy browsers like IE. Umami can be used to host data for friends or clients. Just create a separate account and they can start tracking their own websites on their own dashboard.

...Ingested logs and generated alerts can be retroactively searched for compliance and research. Serverless design is cheaper, easier to maintain, and scales to terabytes per day. Deployment is automated, simple, safe and repeatable for any AWS account. Secure by design, least-privilege execution, containerized analysis, and encrypted data storage.

...For more information about my copyright/authorship attribution ideas, visit https://customsolvers.com/copyright/. IMPORTANT NOTE This project is a mirror of the repository FlexibleParser_Java in my GitHub account (varocarbas). Both versions are fully synchronised and immediately updated with any change.

...For more information about my copyright/authorship attribution ideas, visit https://customsolvers.com/copyright/. IMPORTANT NOTE This project is a mirror of the repository FlexibleParser in my GitHub account (varocarbas). Both versions are fully synchronised and immediately updated with any change.

It gives facility of collecting tweets through Twitter Streaming API w.r.t different search criteria and to save tweets in CSV and ARFF (WEKA) file formats.

This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 (