The Symfony RingCentral Notifier Bridge provides RingCentral integration for Symfony Notifier.

The Symfony Scaleway Mailer Bridge provides Scaleway integration for Symfony Mailer.

Lazarus is an IDE to create (graphical and console) applications with Free Pascal, the (L)GPLed Pascal and Object Pascal compiler that runs on Windows, Linux, Mac OS X, FreeBSD and more.

Sysprof is a sampling CPU profiler that uses a ptrace in Linux kernel to profile the entire system, not just a single application. Sysprof handles shared libraries and applications do not need to be recompiled. In fact they don't even have to be restarted.

PostgreSQL uses a cost-based optimizer that uses data statistics, not static rules. The planner (optimizer) estimates costs of each possible execution plans for a SQL statement, then executes the plan with the lowest cost. The planner does its best to select the best execution plan, but it is far from perfect, since it may not count some data properties, like correlation between columns.

Implements the density-preserving modification to t-SNE and UMAP described by Narayan et al. (2020) <doi:10.1101/2020.05.12.077776>. The non-linear dimensionality reduction techniques t-SNE and UMAP enable users to summarise complex high-dimensional sequencing data such as single cell RNAseq using lower dimensional representations. These lower dimensional representations enable the visualisation of discrete transcriptional states, as well as continuous trajectory (for example, in early development). However, these methods focus on the local neighbourhood structure of the data. In some cases, this results in misleading visualisations, where the density of cells in the low-dimensional embedding does not represent the transcriptional heterogeneity of data in the original high-dimensional space. den-SNE and densMAP aim to enable more accurate visual interpretation of high-dimensional datasets by producing lower-dimensional embeddings that accurately represent the heterogeneity of the original high-dimensional space, enabling the identification of homogeneous and heterogeneous cell states. This accuracy is accomplished by including in the optimisation process a term which considers the local density of points in the original high-dimensional space. This can help to create visualisations that are more representative of heterogeneity in the original high-dimensional space.