ideogram
gazpacho
Our great sponsors
ideogram | gazpacho | |
---|---|---|
3 | 1 | |
277 | 730 | |
- | - | |
9.2 | 3.2 | |
3 months ago | 5 months ago | |
JavaScript | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ideogram
-
New CRISPR-based map ties every human gene to its function
> Where are the polished, powerful design tools for biology
User interfaces for biology have drastically improved over the last 10 years.
Domain-specific tools like genome browsers, protein viewers, or phylogenetic explorers [1-3] almost all look and feel a lot better than they did in 2012.
The biggest exception here is UCSC Genome Browser, which has an old-school design and web technology stack. That said, it's steadily added features over the years, has substantially sleekened UX in its periphery, and remains widely used.
There are also bespoke visual design resources for biology applications that are good and getting better, like BioRender and PhyloPic [4-5]. There are multi-tiered packages like Dash Bio that wrap biology components together. There's Blender biology community, too!
---
1. Genome browsers and components: https://jbrowse.org/jb2/, https://www.ncbi.nlm.nih.gov/genome/gdv, https://igv.org/app, https://eweitz.github.io/ideogram
2. Protein viewers: https://pymol.org/, https://nglviewer.org/ngl/
3. Phylogenetic explorers: https://clades.nextstrain.org/
4. https://biorender.com/
5. http://phylopic.org/
6. https://github.com/plotly/dash-bio, https://dash.gallery/Portal/?search=[Pharma]
-
Why IndexedDB is slow and what to use instead
I'm more interested in read speeds than write speeds. I have about 2 MB of data that I fetch, then parsed and transformed into a heavily nested object for easy look-up by various types of keys.
In my brief experiment, it was 12% faster to read from the web Cache API, re-parse and re-transform that heavily nested object than to read the fully transformed object via IndexedDB. That surprised me! My understanding is that IndexedDB does a structured clone as part of the read, which I suspect is the main cause of slowness of IndexedDB relative to the Cache API approach in my use case.
Related commits to reproduce that finding are in [1], specifically [2].
[1] https://github.com/eweitz/ideogram/pull/285
-
Ask HN: What are some tools / libraries you built yourself?
I created Ideogram.js, a JavaScript library for chromosome visualization [1]. Ideogram supports drawing and animating genome-wide datasets, enabling a variety of genomic views [3].
[1] https://github.com/eweitz/ideogram
[2] https://eweitz.github.io/ideogram
gazpacho
-
Ask HN: What are some tools / libraries you built yourself?
I've been working on gazpacho [1] for last two years.
It's a general purpose web scraping library for Python that replaces BeautifulSoup + requests for most projects.
Just surpassed ~2K downloads every week!
[1] https://github.com/maxhumber/gazpacho
What are some alternatives?
genetic-origins-heatmap - Use your DNA data (e.g. from 23andMe) to paint a global heatmap of your origins.
selectolax - Python binding to Modest and Lexbor engines (fast HTML5 parser with CSS selectors).
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
lxml - The lxml XML toolkit for Python
absurd-sql - sqlite3 in ur indexeddb (hopefully a better backend soon)
html5lib - Standards-compliant library for parsing and serializing HTML documents and fragments in Python
localForage - 💾 Offline storage, improved. Wraps IndexedDB, WebSQL, or localStorage using a simple but powerful API.
xmltodict - Python module that makes working with XML feel like you are working with JSON
rupy - HTTP App. Server and JSON DB - Shared Parallel (Atomic) & Distributed
xhtml2pdf - A library for converting HTML into PDFs using ReportLab
lowdefy - The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.
untangle - Converts XML to Python objects