Search Results for "student performance analysis"

Infer is a static analysis tool - if you give Infer some Java or C/C++/Objective-C code it produces a list of potential bugs. Anyone can use Infer to intercept critical bugs before they have shipped to users, and help prevent crashes or poor performance. Infer checks for null pointer exceptions, resource leaks, annotation reachability, missing lock guards, and concurrency race conditions in Android and Java code. Infer checks for null pointer dereferences, memory leaks, coding conventions...

Low Output Latency streaming HTML rewriter/parser with CSS-selector based API. It is designed to modify HTML on the fly with minimal buffering. It can quickly handle very large documents, and operate in environments with limited memory resources. The crate serves as a back-end for the HTML rewriting functionality of Cloudflare Workers, but can be used as a standalone library with a convenient API for a wide variety of HTML rewriting/analysis tasks. The parser switches back to the tag scanner...

*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4

California Energy Commission software for residential building energy code compliance analysis based on the performance path. License (modified BSD) for CEC Compliance Engine and CBECC-Res UI: https://sourceforge.net/p/cbecc-res/code/HEAD/tree/trunk/CBECC-Res/License.txt

California Energy Commission software for nonresidential building energy code compliance analysis based on the performance path. License (modified BSD) for CEC Compliance Engine and CBECC-Com UI: https://sourceforge.net/p/cbecc-com/code/HEAD/tree/trunk/CBECC-Com13/License.txt License for embedded EnergyPlus software: https://sourceforge.net/p/cbecc-com/code/HEAD/tree/trunk/CBECC-Com13/License-EPlusUser.txt

ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.