The GitHub repos Hacker News keeps talking about
44,252 repositories ranked by 384,934 links in HN stories and comments since 2008.
44,252 repos · all time · by HN mentions
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6151
Build android apps without any java, entirely in C and Make
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6152
Redis library for rust
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6153
A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
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6154
Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket
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6155
DIY split-flap display
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6156
Easy SSH servers in Golang
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6157
A lightweight process isolation tool that utilizes Linux namespaces, cgroups, rlimits and seccomp-bpf syscall filters, leveraging the Kafel BPF language for enhanced security.
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6158
Oboe is a C++ library that makes it easy to build high-performance audio apps on Android.
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6159
WICG/html-in-canvas ★ 4.0k
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6160
The Chrome DevTools UI
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6161
yet another rss reader
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6162
High-level emulator for early iOS apps. This repo is used for issues, releases and CI. Submit patches at: https://review.gerrithub.io/admin/repos/touchHLE/touchHLE
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6163
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
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6164
Rust bindings for the V8 JavaScript engine
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6165
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
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6166
Ah shhgit! Find secrets in your code. Secrets detection for your GitHub, GitLab and Bitbucket repositories.
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6167
A tool to download, compile, and install Ruby on Unix-like systems.
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6168
A bittorrent filesystem based on FUSE.
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6169
The Go kernel for Jupyter notebooks and nteract.
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6170
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6171
Learning embeddings for classification, retrieval and ranking.
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6172
A design system for building retro Apple interfaces
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6173
🆔 The easy-to-use OpenStreetMap editor in JavaScript.
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6174
The multiplayer game engine
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6175
a multi-system chiptune tracker compatible with DefleMask modules
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6176
Rust for C++ programmers
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6177
Input OpenAPI. Output SDKs and Docs.
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6178
Type safe SQL builder with code generation and automatic query result data mapping
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6179
Browser extension for reverse image search, available for Chrome, Edge and Safari
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6180
hudl/open-data ★ 3.7k
Free football data from StatsBomb
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6181
Get your data in RAM. Get compute close to data. Enjoy the performance.
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6182
Training materials and labs for a "Getting Started" level course on COBOL
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6183
pyright fork with various type checking improvements, improved vscode support and pylance features built into the language server
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6184
Open source book dedicated to helping you to make the best possible sourdough bread at home.
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6185
Deprecated. See fork @ https://github.com/thelounge
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6186
Literate Programming can be Quick and Dirty.
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6187
Run a command when files change
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6188
The desktop vault (Windows, macOS, & Linux).
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6189
Classic version of Turbolinks. Now deprecated in favor of Turbolinks 5.
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6190
🧊 The next generation Package Manager for Kubernetes 📦 Featuring a GUI and a CLI. Glasskube packages are dependency aware, GitOps ready and can get automatic updates via a central public package repository.
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6191
:crescent_moon: A language that compiles to Lua
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6192
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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6193
Software-Defined GPS Signal Simulator
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6194
A local webserver for developers
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6195
Dirty COW
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6196
Compact and efficient synchronization primitives for Rust. Also provides an API for creating custom synchronization primitives.
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6197
async language server protocol plugin for vim and neovim
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6198
RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived rather than host or infectious in origin. For this work, RNAs were obtained as discards from the small portions of vaccine doses that remained in vials after immunization; such portions would have been required to be otherwise discarded and were analyzed under FDA authorization for research use. To obtain the small amounts of RNA needed for characterization, vaccine remnants were phenol-chloroform extracted using TRIzol Reagent (Invitrogen), with intactness assessed by Agilent 2100 Bioanalyzer before and after extraction. Although our analysis mainly focused on RNAs obtained as soon as possible following discard, we also analyzed samples which had been refrigerated (~4 ℃) for up to 42 days with and without the addition of EDTA. Interestingly a substantial fraction of the RNA remained intact in these preparations. We note that the formulation of the vaccines includes numerous key chemical components which are quite possibly unstable under these conditions-- so these data certainly do not suggest that the vaccine as a biological agent is stable. But it is of interest that chemical stability of RNA itself is not sufficient to preclude eventual development of vaccines with a much less involved cold-chain storage and transportation. For further analysis, the initial RNAs were fragmented by heating to 94℃, primed with a random hexamer-tailed adaptor, amplified through a template-switch protocol (Takara SMARTerer Stranded RNA-seq kit), and sequenced using a MiSeq instrument (Illumina) with paired end 78-per end sequencing. As a reference material in specific assays, we included RNA of known concentration and sequence (from bacteriophage MS2). From these data, we obtained partial information on strandedness and a set of segments that could be used for assembly. This was particularly useful for the Moderna vaccine, for which the original vaccine RNA sequence was not available at the time our study was carried out. Contigs encoding full-length spikes were assembled from the Moderna and Pfizer datasets. The Pfizer/BioNTech data [Figure 1] verified the reported sequence for that vaccine (https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/), while the Moderna sequence [Figure 2] could not be checked against a published reference. RNA preparations lacking dsRNA are desirable in generating vaccine formulations as these will minimize an otherwise dramatic biological (and nonspecific) response that vertebrates have to double stranded character in RNA (https://www.nature.com/articles/nrd.2017.243). In the sequence data that we analyzed, we found that the vast majority of reads were from the expected sense strand. In addition, the minority of antisense reads appeared different from sense reads in lacking the characteristic extensions expected from the template switching protocol. Examining only the reads with an evident template switch (as an indicator for strand-of-origin), we observed that both vaccines overwhelmingly yielded sense reads (>99.99%). Independent sequencing assays and other experimental measurements are ongoing and will be needed to determine whether this template-switched sense read fraction in the SmarterSeq protocol indeed represents the actual dsRNA content in the original material. This work provides an initial assessment of two RNAs that are now a part of the human ecosystem and that are likely to appear in numerous other high throughput RNA-seq studies in which a fraction of the individuals may have previously been vaccinated. ProtoAcknowledgements: Thanks to our colleagues for help and suggestions (Nimit Jain, Emily Greenwald, Lamia Wahba, William Wang, Amisha Kumar, Sameer Sundrani, David Lipman, Bijoyita Roy). Figure 1: Spike-encoding contig assembled from BioNTech/Pfizer BNT-162b2 vaccine. Although the full coding region is included, the nature of the methodology used for sequencing and assembly is such that the assembled contig could lack some sequence from the ends of the RNA. Within the assembled sequence, this hypothetical sequence shows a perfect match to the corresponding sequence from documents available online derived from manufacturer communications with the World Health Organization [as reported by https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/]. The 5’ end for the assembly matches the start site noted in these documents, while the read-based assembly lacks an interrupted polyA tail (A30(GCATATGACT)A70) that is expected to be present in the mRNA.
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6199
Native Abstractions for Node.js
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6200
Open-source Dropbox client for macOS and Linux