pip install -U pipen-report

from pipen import Proc, Pipen

class Figure(Proc):
    """Generate figures"""
    input_keys = ['a:var']
    input = [1,2,3]
    output = 'outfile:file:{{in.a}}.jpg'
    script = '''\
    wget https://picsum.photos/200/300 -O {{out.outfile}}
    '''
    plugin_opts = 'Figure.svx'

class Table(Figure):
    """Generate tables"""
    output = 'outfile:file:{{in.a}}.txt'
    script = '''\
    #!/usr/bin/env python

    outfile = "{{out.outfile}}"
    with open(outfile, 'w') as fout:
        fout.write("""\\
    id	first_name	last_name	email	gender	ip_address
    1	Lynda	Scirman	[email protected]	Female	22.123.155.57
    2	Moll	Niset	[email protected]	Female	6.154.75.63
    3	Jory	Mewitt	[email protected]	Male	233.225.101.101
    4	Dukie	Onslow	[email protected]	Male	238.209.40.250
    5	Carlee	Grasha	[email protected]	Female	22.65.237.2
    6	Leanora	Doughtery	[email protected]	Female	54.41.211.142
    7	Winona	Levison	[email protected]	Female	15.186.215.132
    8	Orrin	Baldick	[email protected]	Male	221.49.10.188
    9	Ingmar	Papez	[email protected]	Male	225.88.240.74
    10	Arlena	Compford	[email protected]	Female	49.30.204.242
    11	Domenico	Lorinez	[email protected]	Male	106.63.35.124
    12	Yul	Bonifas	[email protected]	Male	198.152.245.214
    13	Tony	Antonignetti	[email protected]	Male	61.64.103.108
    14	Bayard	Gilhooley	[email protected]	Male	124.48.176.234
    15	Hillary	Ashbee	[email protected]	Female	111.91.131.252
    16	Cherye	Spuffard	[email protected]	Female	206.113.100.79
    17	Dorey	Lorraway	[email protected]	Female	179.210.96.234
    18	Iolande	McKilroe	[email protected]	Female	92.62.191.79
    19	Ermina	Woodroofe	[email protected]	Female	193.75.48.192
    20	Quill	Skoggins	[email protected]	Male	157.11.232.242
    """)
    '''
    plugin_opts = 'Table.svx'

Pipen('Test pipeline',
      'Just for pipen-report testing').starts([Figure, Table]).run()