Great number of tools to manage PostgreSQL database, develop and schedule database scripts and applications.
All in a single docker image.
## Features:
1. [Browser-based VS-code](https://theia-ide.org/) with extensions:
- [PostgreSQL Client for vscode](https://open-vsx.org/extension/cweijan/vscode-postgresql-client2)
- [SQLTools PostgreSQL](https://open-vsx.org/extension/mtxr/sqltools-driver-pg)
2. Browser-based terminal. Finally no need to ssh into a running docker container.
3. [Cronicle](https://github.com/jhuckaby/Cronicle). Browser-based jobs scheduler. Schedule backups, data extracts, maintenance scripts.
4. Ubuntu with many apps installed:
- text editors
- [Zsh](https://ohmyz.sh/)
- cron
- mc
- and many more
5. [Rclone](https://rclone.org/). Save backups to S3.
6. Up and running Postgres 14 database. To try things locally first.
7. Postgres CLI tools:
- [psql](https://www.postgresql.org/docs/current/app-psql.html). Standard PostgreSQL interactive terminal.
- [pgcli](https://www.pgcli.com/). Command line interface for Postgres with auto-completion and syntax highlighting.
- [pspg](https://iboxshare.com/okbob/pspg). Data visualizer.
8. Performance and load testing tools:
- [pgmetrics](https://pgmetrics.io/). Collect 350+ metrics from a running PostgreSQL server.
- [pgCenter](https://github.com/lesovsky/pgcenter). Admin tool for observing and troubleshooting Postgres.
- [pgbench](https://www.postgresql.org/docs/devel/pgbench.html). Run benchmark tests on PostgreSQL.
9. Backups and restore tools:
- [pg_dump](https://www.postgresql.org/docs/current/backup-dump.html)
- [pg_dumpall](https://www.postgresql.org/docs/current/backup-dump.html)
- [pg_restore](https://www.postgresql.org/docs/current/backup-dump.html)
10. Tools to import/export data to/from Postgres:
- [pgclimb](https://github.com/lukasmartinelli/pgclimb). Export data into different data formats, including CSV, JSON, templated HTML & Markdown.
- [pgfutter](https://github.com/lukasmartinelli/pgfutter). Import CSV and line delimited JSON into PostgreSQL the easy way.
- [pgloader](https://pgloader.readthedocs.io/en/latest/index.html). Very versatile data loading tool for PostgreSQL.
11. Fake data generators and data mocking tools:
- [synth](https://github.com/getsynth/synth). A tool for generating realistic data.
- [mock-data](https://github.com/faisaltheparttimecoder/mock-data). Generate mock data, tables and databases easily.
12. Database change management toolset:
- [sqitch](https://github.com/sqitchers/sqitch). Database change management application.
- [yuniql](https://github.com/rdagumampan/yuniql). Schema versioning and database migration engine.
- [pgmigrate](https://github.com/yandex/pgmigrate). Database migration tool developed by Yandex.
- [migra](https://databaseci.com/docs/migra). Find differences in database schemas easily.
13. [pg_sample](https://github.com/mla/pg_sample). Create database sample while maintaining referential integrity.
14. [Postgres explain visualizer](https://github.com/AlexTatiyants/pev). Understand Postgres execution plans.
15. [DBdesigner](https://github.com/akreienbring/dbdesigner). Draw ERD diagrams and use it to generate DDL code.
16. [Schemaspy](https://github.com/schemaspy/schemaspy). Generate extensive HTML database documentation that looks great.
17. [tbls](https://github.com/k1LoW/tbls). Generate documentation (essentially data catalog) from the database
18. [pg_flame](https://github.com/mgartner/pg_flame). A flamegraph generator for Postgres explain output.
19. Programming languages. Develop/execute directly inside the workspace using browser-based IDE.
- python
- nodejs
- java
20. [Filebrowser](https://github.com/filebrowser/filebrowser). Browse and download files (finally no need to mount folders for that).
21. [Static file server](https://github.com/vercel/serve). View generated HTML reports.
22. [Ungit](https://github.com/FredrikNoren/ungit). The easiest way to use git.
23. Browser-based process and resource utilization monitor
24. [Mkdocs](https://www.mkdocs.org/). Create documentation with Markdown.
25. Workspace own UI, from which you can open all applications and documentation.
__*Below you'll find examples and short tutorials how to use most of the tools included in the workspace.*__
> If you like this project, please support it by simply putting a Github star.
Share this library with friends on Twitter and everywhere else you can.
### Try it out
```
docker run --name space-1 -d -p 8020-8035:8020-8035 alnoda/postgres-workspace
```
Open [localhost:8020](http://localhost:8020)
### Why this image
So that you could have an isolated environment specifically configured
to manage and develop Postgres, get started fast, try things out on the internal Postgres first, import and export data,
create backup dumps, create sample databases for development and testing,
schedule all these tasks, enforce database change management in your team, analyse metrics annd uderstand performance,
conduct load tests on the databases you use, look on visual execution
plans, create complete documentations from the Postgres databases, develop scripts and apps with Python or Javascript.
## Workspace UI
Workspace UI can be accessed on [localhost:8020](http://localhost:8020). It provides quick access to the IDE, terrminal and other apps.
## Postgres
The workspace includes Postgres 14 up and running. You can use it to experiment and try things before trying on the application database.
Connection parameters: host - _localhost_, user - _abc_ (no password), database - _abc_.
You can load sample database to check out the workspace features and applications. Load "usda" database
```
git clone https://github.com/morenoh149/postgresDBSamples /home/pg_dbs
cd /home/pg_dbs/usda-r18-1.0
createdb usda
psql -f usda.sql usda
#Explore data
pgcli usda
SELECT * FROM data_src
```
load Chinook database
```
cd /home/pg_dbs/chinook-1.4
createdb -E UTF8 chinook
psql -f Chinook_PostgreSql_utf8.sql -d chinook
# Explore data
pgcli chinook
SELECT * FROM "Track"
```
load Adventureworks database
```
cd /home/pg_dbs/adventureworks/
unzip data.zip # this will unzip all csv to the current directory
psql -c "CREATE DATABASE \"adventureworks\";"
psql -d adventureworks < install.sql
# Explore data
pgcli adventureworks
SELECT * FROM sales.salesorderdetail
```
## VS-code & plugins
[Apache Theia](https://theia-ide.org/), a browser-based version of the VS-code, is part of the workspace. It has
extensions to explore Postgres
If you loaded sample databases to the local postgres, connect & explore data directly in the IDE
## Postgres CLI tools
Querying from command line should be awesome
### psql
[psql](https://www.postgresql.org/docs/14/app-psql.html) is a PostgreSQL interactive terminal
```
# connect to local Postgres
psql
# connect to database chinook (local Postgres)
psql chinook
# general psql connection pattern
psql postgresql://dbmaster:5432/mydb
# with password prompt
psql -U postgres -W postgresql://my-postgres-host:5432/mydb
$ without password prompt
PGPASSWORD=xxxxxxxxxxx psql -U postgres postgresql://my-postgres-host:5432/mydb
```
### pgcli
[pgcli](https://www.pgcli.com/) - is a postgres client that does auto-completion and syntax highlighting. Example:
```
# pgcli to the local Postgres
pgcli
# connect to database usda (local Postgres)
pgcli usda
# pgcli to the remote Postgres
pgcli -h my-postgres-host -p 5432 -U postgres -W -d mydb
```
### pspg
[Pspg](https://iboxshare.com/okbob/pspg) is a unix pager (with very rich functionality) designed for work with tables.
Pspg is enabled by default, and will automatically applied to psql and pgcli if the result of SELECT statement is large.
You can disable pspg by deleting the (last) line _PAGER='pspg -s 4 --interactive --no-mouse'_ from file /home/abc/.zshrc.
(or you can modify configuration).
## Performance and load testing
Monitor live activity, collect and analyse metrics, perform load tests.
### pgmetrics
[pgmetrics](https://pgmetrics.io/) is an open-source, zero-dependency, single-binary tool that can collect 350+ metrics from a running PostgreSQL
server and display it in easy-to-read text format or export it as JSON and CSV for scripting. Example use:
```
# Try on local Postgres database "usda" (upon password prompt just hit Enter)
pgmetrics --no-pager -h localhost -U abc usda
# Remote Postgres
pgmetrics --no-pager -h my-postgres-host -p 5432 -U postgres mydb
```
_Hint:_ Output to txt file `pgmetrics -h localhost -U abc usda >> /home/static-server/pgmetrics-usda.txt` and open static server [http://localhost:8022](http://localhost:8022)
### pgCenter
[pgCenter](https://github.com/lesovsky/pgcenter) is a command-line admin tool for observing and troubleshooting Postgres. Example use:
```
# for local Postgres
pgcenter top -h localhost -p 5432 -U abc -d usda
# for remote Postgres (password prompt)
pgcenter top -h my-postgres-host -p 5432 -U postgres -d mydb
# for remote Postgres (no password prompt)
PGPASSWORD=xxxxxxxxxxx pgcenter top -h my-postgres-host -p 5432 -U postgres -d mydb
```
### pgbench
[pgbench](https://www.postgresql.org/docs/devel/pgbench.html) is a simple program for running benchmark tests on PostgreSQL.
Example use on local Postgres:
```
# initialize
pgbench -h localhost -U abc -i -s 50 abc
# test
pgbench -h localhost -U abc -c 10 -j 2 -t 10000 abc
```
Example use on remote Postgres:
```
# initialize
pgbench -h my-postgres-host -U postgres -i -s 50 mydb
# test
pgbench -h my-postgres-host -U postgres -c 10 -j 2 -t 10000 mydb
```
__Learn more:__
- [Pgbench tutorial](https://www.cloudbees.com/blog/tuning-postgresql-with-pgbench).
## Backups and restore
Create backup dumps with [pg_dump](https://www.postgresql.org/docs/current/backup-dump.html) or [pg_dumpall](https://www.postgresql.org/docs/14/app-pg-dumpall.html),
push to S3 with [rclone](https://rclone.org/) and schedule with [Cronicle](https://github.com/jhuckaby/Cronicle).
### pgdump
The purpose of [pg_dump](https://www.postgresql.org/docs/current/backup-dump.html) is to generate a file with SQL commands that,
when fed back to the server, will recreate the database in the same state as it was at the time of the dump. Example of use
```
mkdir /home/dumps/
# Dump from local Postgres
pg_dump -h localhost -p 5432 -U abc usda > /home/dumps/local_postgres_dump
# Dump from remote Postgres
PGPASSWORD=xxxxxxxxxxx pg_dump -h my-postgres-host -p 5432 -U postgres mydb > /home/dumps/remote_postgres_dump
# Restore from dump to local Postgres
psql dbname < /home/dumps/remote_postgres_dump
```
__Other versions of pg_dump__
The default pg_dump version is for Postgres 14. If you see error _error: aborting because of server version mismatch_, try
pg_dump for your postgres version (currently Postgres versions 12, 13 and 14 are supported)
```
pg_dump_12 -h localhost -p 5432 -U abc abc > /home/dumps/local_postgres_dump_12
pg_dump_13 -h localhost -p 5432 -U abc abc > /home/dumps/local_postgres_dump_13
```
### pg_dumpall
[pg_dumpall](https://www.postgresql.org/docs/14/app-pg-dumpall.html) is a utility for writing out ("dumping")
all PostgreSQL databases of a cluster into one script file.
```
pg_dumpall -h localhost -p 5432 -U abc > /home/dumps/local_postgres_dumpall
# Dump from remote Postgres
PGPASSWORD=xxxxxxxxxxx pg_dump -h my-postgres-host -p 5432 -U postgres mydb > /home/dumps/remote_postgres_dump
# Restore from dump to local Postgres
psql dbname < /home/dumps/remote_postgres_dump
```
The default is pg_dumpall for Postgres 14, if you need earlier version, use `pg_dumpall_12`, `pg_dumpall_13`.
### rclone
[rclone](https://rclone.org/) is a command line program to manage files on cloud storage.
It is a feature rich alternative to cloud vendors' web storage interfaces.
__Copy dump to S3:__
Create file `~/.config/rclone/rclone.conf` with the following content
```
[remote]
type = s3
provider = AWS
access_key_id = XXXXXXXXXXXXXXXXXXXXXX
secret_access_key = XXxxXXxXXXxxxXXxXXXxxXXXxxxXXXxXXXX
region = xx-xxxx-x
```
Use Rclone to copy to S3 and delete from local
```
rclone move /home/dumps/ remote:my-s3-bucket/dumps/
```
__Restore from S3 to local:__
When there is a need to restore database from a dump, copy dupm from S3 or mount S3 bucket to local folder.
In case of mounting, file will not be physically copied. Database restoration will happen directly from dump on S3.
```
# copy & restore
rclone copy remote:dwh-1/dumps/remote_postgres_dump /home/s3-dumps/
psql dbname < /home/s3-dumps/remote_postgres_dump
# mount & restore
rclone sync remote:dwh-1/dumps /home/s3-dumps
psql dbname < /home/s3-dumps/remote_postgres_dump
```
### scheduling backups
There are 2 ways to schedule backups and copying to S3: [cron](https://en.wikipedia.org/wiki/Cron) and [Cronicle](https://github.com/jhuckaby/Cronicle).
__Schedule with cron__: open workspace terminal, and execute `crontab -e`. Create a record with schedule, for example
```
# schedule backup every Sunday at 8:05
5 8 * * 0 pg_dump -h localhost -p 5432 -U abc abc > /home/dumps/local_postgres_dump; rclone move /home/dumps/ remote:my-s3-bucket/dumps/
```
__Schedule with Cronicle__: open Cronicle WEB UI from the main Workspace page, or directly on [http://localhost:8023/](http://localhost:8023/)
(user/pass - admin/admin) and create scheduled event (plugin - shell script). Provide commands to be executed.
## Database sample
Who hasn't faced a need to make a sample database for testing/development purposes? :-)
```
# Create sample from database "usda" in local Postgres
pg_sample -h localhost -U abc --limit=500 --file=/home/project/sample_db.sql usda
# create new database (local Postgres)
createdb usda_sample
# restore sample to the new database
psql usda_sample < /home/project/sample_db.sql
```
## Data import/export
Import data from various files, export to csv, json, html. Download with [Filebrowser](https://github.com/filebrowser/filebrowser),
upload to S3 with [Rclone](https://rclone.org/), schedule with [Cronicle](https://github.com/jhuckaby/Cronicle).
### pgclimb
[pgclimb](https://github.com/lukasmartinelli/pgclimb) is a PostgreSQL utility to export data into different data formats with support for templates.
Example of use:
```
# From local Postgres instance
pgclimb --host localhost --port 5432 --dbname abc --username abc --query "SELECT * FROM distributors" -o /home/project/distributors.csv csv
# From remote Postgres instance
pgclimb --host my-postgres-host --port 5432 --dbname mydb --username postgres --password xxxxxxxxxxx --query "SELECT * FROM phonebook" -o /home/project/phone.csv csv
pgclimb --host my-postgres-host --port 5432 --dbname mydb --username postgres --password xxxxxxxxxxx --query "SELECT * FROM phonebook" -o /home/static-server/phone.html html
```
### pgfutter
[pgfutter](https://github.com/lukasmartinelli/pgfutter) helps to import CSV and line delimited JSON into PostgreSQL the easy way.
Example of use: create file `/home/project/friends.json` with the following content
```json
{"name": "Jacob", "age": 26, "friends": ["Anthony"]}
{"name": "Anthony", "age": 25, "friends": []}
{"name": "Emma", "age": 28, "friends": ["Jacob", "Anthony"]}
```
Import data to Postgres
```
# to the local Postgres
pgfutter --host localhost --port 5432 --dbname abc --username abc --table friends json /home/project/friends.json
# to the remote Postgres
pgfutter --host my-postgres-host --port 5432 --dbname mydb --username postgres --pass admin --schema imports --table friends json /home/project/friends.json
```
Another example: create file `/home/project/friends2.csv` with the following content
```
name,age,friends
Jacob,26,"Anthony"
Anthony,25,""
Emma,28,"Jacob,Anthony"
```
Import data to Postgres
```
pgfutter --host my-postgres-host --port 5432 --dbname mydb --username postgres --pass admin --schema public --table friends2 csv /home/project/friends2.csv
```
### PGLoader
[PGLoader](https://pgloader.readthedocs.io/en/latest/index.html) - a very versatile data loading tool for PostgreSQL.
Load data from files, or migrate entire databases to Postgres.
Example of use: create test load file `/home/project/test.csv` with the following content
```
Header, with a © sign
"2.6.190.56","2.6.190.63","33996344","33996351","GB","United Kingdom"
"3.0.0.0","4.17.135.31","50331648","68257567","US","United States"
"4.17.135.32","4.17.135.63","68257568","68257599","CA","Canada"
"4.17.135.64","4.17.142.255","68257600","68259583","US","United States"
"4.17.143.0","4.17.143.15","68259584","68259599","CA","Canada"
"4.17.143.16","4.18.32.71","68259600","68296775","US","United States"
```
Create PGLoader file `/home/project/test.load` with the following content (use your postgres connection arguments)
```
LOAD CSV
FROM '/home/project/test.csv' (x, y, a, b, c, d)
-- local Postgres
INTO postgresql://abc@localhost:5432/abc?csv (a, b, d, c)
-- remote Postgres
-- INTO postgresql://user:password@my-postgres-host:5432/mydb?csv (a, b, d, c)
WITH truncate,
skip header = 1,
fields optionally enclosed by '"',
fields escaped by double-quote,
fields terminated by ','
SET client_encoding to 'latin1',
work_mem to '12MB',
standard_conforming_strings to 'on'
BEFORE LOAD DO
$$ drop table if exists csv; $$,
$$ create table csv (
a bigint,
b bigint,
c char(2),
d text
);
$$;
```
Load data into new table called "csv"
```
pgloader /home/project/test.load
```
## Data generators/mocking
Generate realistic data for existing tables, create new mock tables or databases.
### [synth](https://github.com/getsynth/synth)
Synth is a tool for generating realistic data using a declarative data model. Synth is database agnostic and can scale to millions of rows of data.
Create dir `mkdir /home/project/synth` and create file `/home/project/synth/companies.json`
```json
{
"type": "array",
"length": {
"type": "number",
"constant": 1
},
"content": {
"type": "object",
"company_id": {
"type": "number",
"id": {}
},
"company_name": {
"type": "string",
"faker": {
"generator": "company_name"
}
}
}
}
```
Generate data (2 entries only) as json - `synth generate /home/project/synth/ --size 2 | jq`.
Generate data into (local) Postgres
```
# Create table users in local Postgres database
echo "CREATE TABLE companies(company_id SERIAL PRIMARY KEY, company_name VARCHAR(255) NOT NULL);" | psql
# generate random data to table users
synth generate /home/project/synth/ --size 200 --to postgres://abc@localhost:5432/abc
# check 10 records
echo "SELECT * FROM companies LIMIT 10" | psql
```
__Learn more:__
- [Synth docs](https://www.getsynth.com/docs/getting_started/synth)
- [How to Create PostgreSQL Test Data](https://www.getsynth.com/docs/blog/2021/03/09/postgres-data-gen)
### [mock-data](https://github.com/faisaltheparttimecoder/mock-data)
The idea behind mock-data is to allow users to test database queries with sets of fake data in any pre-defined table. Example use:
```
# Create table in (local) Postgres
echo "CREATE TABLE distributors (did integer, name varchar(40));" | psql
# Populate (local) Postgres with fake data (2000 rows)
mock tables -t "distributors" -r 2000 --uri="postgres://abc@localhost:5432/abc?sslmode=disable"
```
__Learn more:__
- [Mock-data documentation](https://github.com/faisaltheparttimecoder/mock-data/wiki)
## Database change management
Implement database change management in your team and drive higher software delivery and organizational performance.
### sqitch
[sqitch](https://github.com/sqitchers/sqitch) - is a database change management application.
To demonstrate (very briefly) how Sqitch works, create a new database called 'flipr_test' in the local Postgres:
```
createdb flipr_test
```
Initialize and configure a Sqitch project, called 'flipr'
```
mkdir /home/project/flipr && cd /home/project/flipr
sqitch init flipr --engine pg
```
Open file `/home/project/flipr/sqitch.conf` and update configuration for the "pg" engine to conect to local Postgres as following
```
[core]
engine = pg
[engine "pg"]
target = db:pg:
client = psql
```
Create database and changes to be managed by Sqitch
```
# create new Postgres database
createdb flipr_test
# create sqitch change
sqitch add appschema -n 'Add schema for all flipr objects.'
# add SQL command to change file
echo "CREATE SCHEMA flipr;" >> /home/project/flipr/deploy/appschema.sql
# add SQL command to change-revert file
echo "DROP SCHEMA flipr;" >> /home/project/flipr/revert/appschema.sql
```
Apply db change with Squitch
```
sqitch deploy db:pg:flipr_test
```
Connet to local Postgres, database 'flipr_test' and check schema 'flipr' was created
```
pgcli flipr_test
SELECT schema_name FROM information_schema.schemata
```
Now you can open terminal back, and revert this change with the command `sqitch revert db:pg:flipr_test`.
__Learn more__:
- [Sqitch Postgres tutorial](https://sqitch.org/docs/manual/sqitchtutorial/)
### yuniql
[Yuniql](https://github.com/rdagumampan/yuniql) is a data platform devops tool using migration-based and database-first
delivery model. Migration-based as each changeset to the schema and seed data is a set of carefully prepared scripts
controlled with a version number.
To briefly demonstrate how Yuniql works, clone example Yuniql project
```
git clone https://github.com/rdagumampan/yuniql.git /home/project/yuniql
```
Create new database in the local Postgres instance
```
createdb helloyuniql
```
Apply to the local Postgres a Yuniql project in `/home/project/yuniql/samples/basic-postgresql-sample`
```
export YUNIQL_PLATFORM="postgresql"
export YUNIQL_WORKSPACE="/home/project/yuniql/samples/basic-postgresql-sample"
export YUNIQL_CONNECTION_STRING="Host=localhost;Port=5432;Username=abc;Password=;Database=helloyuniql"
```
Finally, run migrations
```
cd /home/project/yuniql/samples/basic-postgresql-sample
yuniql run -a --platform postgresql
```
Check the results
```
pgcli helloyuniql
SELECT * FROM regions
```
### migra
[migra](https://databaseci.com/docs/migra) is a schema comparison tool for PostgreSQL.
Find differences in database schemas as easily as running a diff on two text files.
Migra makes schema changes almost automatic. Management of database migration deployments becomes much easier,
faster, and more reliable. For example, compare two local Postgres databases
```
migra postgresql://abc:@localhost:5432/abc postgresql://abc:@localhost:5432/helloyuniql --unsafe
```
Migra will produce a set of SQL commands to make database "abc" have the same DDL as databas "helloyuniql".
## Visualization tools
### dbdesigner
[dbdesigner](https://github.com/akreienbring/dbdesigner) a visual tool to create entity relationship diagrams and
generate Postgres DDL code.
### schemaspy
[schemaspy](https://github.com/schemaspy/schemaspy) generates complete database documentation that looks great.
```
schemaspy -h localhost -p 5432 -d usda -u abc -o /home/static-server/usda-schemaspy
```
And open static file server on [http://localhost:8022/](http://localhost:8022/) folder usda-schemaspy
### Postgres explain visualizer
[Pev](https://github.com/AlexTatiyants/pev) helps to understand Postgres execution plans
### tbls
[tbls](https://github.com/k1LoW/tbls) - a tool for document a database, written in Go.
For example, generate Markdown docs
```
tbls doc "postgres://abc@localhost:5432/usda?sslmode=disable" /home/static-server/usda-tbls
```
Now you can push these docks push to Github.
### pg_flame
[pg_flame](https://github.com/mgartner/pg_flame) - a flamegraph generator for Postgres EXPLAIN ANALYZE output.
```
psql usda -qAtc 'SELECT *
FROM nut_data N
JOIN food_des F ON F.ndb_no = N.ndb_no
JOIN datsrcln D ON D.nutr_no = N.nutr_no
LEFT JOIN data_src ON data_src.datasrc_id = D.datasrc_id
WHERE N.nutr_val > 20
AND data_src.year > 1975 AND data_src.year < 1986;' \
| pg_flame > /home/static-server/flamegraph.html
```
## Other useful tools
### pg_insights
Convenient SQL for monitoring Postgres database health. Clone repo and use it to analyse Postgres databases
```
git clone https://github.com/lob/pg_insights /home/pg_insights
```
## Contribution
Any contribution is welcome! If you believe some tool should be added, feel free to create a pull request.
__Potential candidates__
- [pg_back](https://github.com/orgrim/pg_back)
- [trdsql](https://github.com/noborus/trdsql#PostgreSQL)
- [eralchemy](https://github.com/Alexis-benoist/eralchemy). Functionality already available by schemaspy. But can be useful for custom doc preparation.
- [datasette](https://github.com/simonw/datasette)Nice, but not really fits the purpose of the workspace. pgclimb can generate HTML
- [rclone gui](https://rclone.org/gui/). Nice, but not really needed. Problems removing basic auth
- [OctoSQL](https://github.com/cube2222/octosql). Limitations: only Postgres public schema can be queried; does not allow uppercase in table names; lack of flexibility parsing csv
- [nancy](https://gitlab.com/postgres-ai/nancy). Lack of maintenance recently
- [azimutt](https://github.com/azimuttapp/azimutt). Lack of maturity
- [planter](https://github.com/achiku/planter). Go build required
- [pgsh](https://github.com/sastraxi/pgsh). Lack of documentation
- [dbvisualizer](https://github.com/eska-muc/dbvisualizer). functionality covered already by schemaspy
- [er-diagram-endpoint](https://github.com/kedziorski/er-diagram-endpoint). Lack of recent updates