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A cross-platform text analysis program written in Python and Free Pascal/Lazarus which scans a whole text file (in plain text, HTML, EPUB, or ODT formats) and ranks all used words according to frequency, performing a quantitative analysis of the text using Shannon-Weaver information statistic and Zipf power law function. It counts words, sentences, chars, spaces, and syllables. Also computes readability indexes (Gunning-Fog, Coleman-Liau, Automated Readability Index (ARI), SMOG grade, Flesch–Kincaid grade level and Flesch Reading Ease).

...It also uses a central (fish, plant and invertebrates) database to check if the actual parameters are Ok, depending on the species that live in the Aquarium. With all the records, the Simulation Model predicts the algae risk too (low,medium,high) and the algae type(green,cyanotic.) using the Redfield coefficient. Appart from that, the program tries to bring another modest contribution to Open Source Software and the World of Aquariums. SME LibreAquarium helps to daily maintenace of the aquarium with habitants control(fishes,plants, invertebrates), expenses, statistics, alarms, etc.