Hello,
> I would be interested what you find wrong about Git and is better in your
> version control system.
If you google - one of the first hits that come up is:
Fossil Versus Git [1]. Cheers.
[1] http://www.fossil-scm.org/xfer/doc/trunk/www/fossil-v-git.wiki
Hello,
> Is there something like PHPAdmin for SQLite?
I've put together Awesome SQLite [1] - a collection of (free)
SQLite goodies incl. a list of admin tools for SQLite - desktop
version (e.g. SQLiteStudio recommended) or web (e.g. sqliteweb).
Cheers.
[1]
Hello,
For you enjoyment I have added three more entries to the Awesome
SQLite [1] collection:
- sqlite-web (github: coleifer/sqlite-web) by Charles Leifer -- a
web-based SQLite database browser written in Python
- sqliteweb (github: hypebeast/sqliteweb) by Sebastian Ruml -- a
web-based
Hello,
I've updated the Awesome SQLite [1] collection over at Planet Open
Data. What's news?
Added a new beginner's book:
Getting Started with SQL - A Hands-On Approach for Beginners - by
Thomas Nield; 2016; O'Reilly; 134 pages -- learn SQL with SQLite and
SQLiteStudio
Anything
Hello,
Thanks. Great advice. The SQLite schema code gets generated from
the ActiveRecord (Ruby) source [1] e.g.:
create_table :facts do |t|
t.string :code, null: false # country code e.g. au
t.string :name, null: false # country name e.g. Austria
t.integer :area
Hello,
Thanks for your kind words and the links.
About:
> Have you seen the XML/mysql versoin:
Yes, this is great and seems to be the "last" reader/project (of
many others) that still is maintained and might get updated.
The CIA changed the structure of the online (live) pages in
Hello,
I've started a new project, that is, /factbook.sql [1] that offers
an SQL schema for the World Factbook and also includes a pre-built
single-file SQLite database, that is, factbook.db [2] for download.
What's the World Factbook?
The World Factbook [3] published by the Central
Hello,
I've put together a new sport.db (football.db) quick starter sample
using the Mauritius Premier League [1] to get you started creating
your own leagues/cups/etc. from scratch.
You can test drive the quick starter sample with a single command e.g.
$ sportdb build
That's it. Now
Hello,
The plain text football fixtures for leagues, teams, match
schedules, stadiums, and more that you can read with the sportdb gem
into an SQLite database e.g. football.db - thus, the project name ;-)
- now includes the 2015/16 seasons for the English Premier League [1],
the Deutsche
Hello,
> what is the difference between major and minor?
To quote from the pull request [1]:
The idea is major are kind of "A" league and minor "B" league. For
something more concrete - the tool is "A" league if it is open source
(and works ;-)). Another is how popular (hard to say). Not sure
Hello,
> It seems to me that it would be useful to include them, flagged as
> "commercial only".
Due to popular demand I started a "commercial only" awesome sqlite
list [1]. For now entries are free (as in beer) ;-) Cheers.
[1]
Hello,
As posted before I've started an awesome collection about all things
SQLite [1].
One section collections ready-to-use (instant) SQLite schemas (and
sample data) scripts. So far listed are:
- football.db - teams, competitions, seasons, matches, goals,
rounds, groups, etc.
-
Hello,
Thanks for the additions to the awesome-sqlite [1] list. I added
the ODBC and JDBC drivers to a new middleware section, and the R
driver to a new language binding section, and the R data frame package
to a misc section.
Note: For now commercial only tools (e.g. SQLite Analyzer) will
Hello,
Thanks I've updated the awesome-sqlite list [1] and now includes a
new section on SpatiaLite and more admin tools. Cheers.
[1] https://github.com/planetopendata/awesome-sqlite
Hello,
I've started yet another awesome collection about - surprise,
surprise - SQLite - inspired by the awesome- trend on
GitHub that collects links on a single page - in Markdown e.g.
README.md - in a git repo.
What?s news? The awesome-sqlite repo collects SQLite goodies,
tools, scripts,
Hello,
I've put together a command line tool, that is, schemadoc [1] that
lets you auto-generate your SQLite database schema docu for tables,
columns, etc.
The schemadoc tool connects to your SQLite database and writes out
the schema info in database.json and also builds an a-z symbol index
Hello,
Thanks. Good point. Will rename fields to columns in schema.json.
Was trying initially to (re)use the Tabular Data Package format (in
json) [1] from the Open Knowledge Foundation (OKFN) but it's not
really a good fit.
Sorry for the broken link. The schemadoc repo (that generates the
Hello,
> I had something that I would use to draw a few pictures of the table schema...
You're invited to share your code - my first version [1] is
text-only so far. Always good to have some diagrams - a picture is
worth a thousand words etc. ;-) Keep it up. Cheers.
[1a] New schemadoc Ruby
Hello,
Thanks for the pointer to the template. I'm using a plain HTML
template w/ Liquid tags [1]. You can see a rendered (live) version
online. [2] Thanks for the inspiration. Cheers.
[1] https://github.com/book-templates/schema/blob/gh-pages/index.html
[2]
Hello,
> SQLite Toolbox
Thanks for highlighting. The HTML pages for the schema looks great. Cheers.
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Hello,
I have started two hours ago ;-) to put together a little script.
The idea is to "dump" the schema as json and then use a static site
generator w/ html templates to generate the docu.
So far the script that generates the json dump (is twenty lines of
Ruby). You can see an example,
Hello,
Thanks. Good point. Wrapping into a html pre tag and it's a great
cheat sheet as a single html page.
Ideally looking for something with an index page, table
cross-references as links, etc. Cheers.
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Hello,
I'm looking for a little tool that reads in an SQLite schema (e.g.
beer.db, football.db, etc.) and outputs (generates) documentation
for tables, fields etc. as a single HTML page or as HTML pages.Any
insight appreciated?
Cheers.
___
Hello,
FYI: First a big thanks to the wonder of SQLite.
May I introduce football.db - a free open public domain football
data project that offers its datasets as SQLite files, thus, the
project name football.db (it's the actual single-all-in-one SQLite
file/database that inspired it).
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